IJCAI 2026 Accepted Papers
The full list of 953 papers accepted at IJCAI 2026 (International Joint Conference on Artificial Intelligence). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.
accepted: 953
- 4DVarGen: A 4D Variational-Inspired Generative Model for Eddy-Resolving Surface Ocean Reconstructionaccepted
- A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspectiveaccepted
- A Comprehensive Survey of Interaction Techniques in 3D Scene Generationaccepted
- A Durable Machine Unlearning Framework to Nullify Recall of Sensitive Data on Incremental Trainingaccepted
- A Fast and Unified Partial Dependence Plot Algorithmaccepted
- A Faster Deterministic Algorithm for Kidney Exchange via Representative Setaccepted
- A First Runtime Analysis of Parallel Tempering in Quadratic Optimizationaccepted
- A Foundation Model for Zero-Shot Logical Rule Inductionaccepted
- A Gloss-Driven Indian Sign Language Production System Using Learned Pose Representationsaccepted
- A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learningaccepted
- A Lightweight Traffic Map for Efficient Anytime LaCAMaccepted
- A Local-Rotation-Driven Global Consistency Framework with Dual-View Decoding for Semi-Supervised Medical Image Segmentationaccepted
- A New Framework for Convex Clustering in Kernel Spaces: Finite Sample Bounds, Consistency and Performance Insightsaccepted
- A Novel SAM Coupling Mechanism for SAR Image Segmentationaccepted
- A Parallel Framework for the Maximum Common Induced Subgraph Problemaccepted
- A Privacy-Preserving Intelligent Assistant for Clinical Psychology Practiceaccepted
- A Resilient Solution for Sewer Overflow Monitoring Across Cloud and Edgeaccepted
- A Resource-Aware Taxonomy of AI Bias Mitigation Techniquesaccepted
- A Review on Test-Time Scaling for Agentic Large Language Modelsaccepted
- A Sampling-Based Relaxation Approach to Contextual Inverse Optimizationaccepted
- A Scalable Cross-Domain Event Extraction System via a Unified Generative Training Frameworkaccepted
- A Structural-Analysis-Based Information Fusion for Multi-Modal Cross-View Geo-Localizationaccepted
- A Survey of Artificial Intelligence in Endoscopic Surgery Workflow: From Perception to Surgical Supportaccepted
- A Survey of Joint Online-Offline Fine-tuning for Large Language Modelsaccepted
- A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendationaccepted
- A Survey on 3D Skeleton Based Person Re-Identification: Taxonomy, Advances, Challenges, and Interdisciplinary Prospectsaccepted
- A Survey on Actionable Interpretability in Large Language Modelsaccepted
- A Survey on Active Feature Acquisition Strategiesaccepted
- A Survey on Quantitative Possibility Theory in Artificial Intelligence. A Convenient Uncertainty and Preference Modelaccepted
- A Survey on Value Alignment in Agentic AI Systemsaccepted
- A Survey on the Verification of Reinforcement Learning Policiesaccepted
- A Truthful Multiunit Profit-Optimal Mechanism for Synthesizing Social Lawsaccepted
- A Unified Knowledge Embedded Reinforcement Learning-based Framework for Generalized Capacitated Vehicle Routing Problemsaccepted
- A Unified Prompt for Enhancing Heterogeneous Graph Pre-training via Edge-based Message Passingaccepted
- A Unified Spectral-Spatial Framework for GNNs: Balancing Over-Smoothing and Over-Squashingaccepted
- A Versatile Framework for Formula-Based Enforcement and Synthesis in Abstract Argumentationaccepted
- A3fford-HOI: Anatomy-Aligned Affordance Disentanglement for Fine-grained and Generalizable Hand Object Interactionaccepted
- AC2-VLA: Action-Context-Aware Adaptive Computation in Vision-Language-Action Models for Efficient Robotic Manipulationaccepted
- ACCFormer: Predicting Analog Circuit Performance Metrics via Topology-Aware Transformersaccepted
- ADC-GNN: Adaptive Dual-level Collaborative Graph Neural Networks for Graph Classificationaccepted
- ADP-MA: An Interactive System for Autonomous Data Processing using Meta-Agentsaccepted
- AG-STELLA: Spatio-Temporal Learning for Water-related Agricultural Land Use Activity Mapping with AlphaEarthaccepted
- AHead-VLN: A Hierarchical Reasoning Framework Guided by Foresight for Human-Aware Navigationaccepted
- AI-Enhanced Vein Biometrics: A Comprehensive Surveyaccepted
- AI-Powered Interactive Multimodal Digital Book & Online Shop For Blind and Visually Impaired Usersaccepted
- AMR-LLM: Knowledge-Enhanced Multi-Modal Automatic Modulation Recognition via Large Language Modelsaccepted
- ARMOR: Adaptive Curriculum Meta-Learning for Noise-Robust RAG Reasoningaccepted
- ASP-Based Probabilistic Policy Fixing for Norm Compliant RLaccepted
- ASTPKEFormer: Adaptive Spatiotemporal Prior Knowledge Embedding-Induced Transformers for Traffic Data Forecastingaccepted
- About Time: Model-Free Reinforcement Learning with Timed Reward Machinesaccepted
- Absorbing Gradient Conflicts: Modeling Semantic Variance via Kent Distributions for Cross-Modal Hashingaccepted
- Abstracting the Indistinguishable in ASPaccepted
- Accelerated Distributed Riemannian Optimization Algorithms with Random Shufflingaccepted
- Accelerating Masked Diffusion Large Language Models: A Survey of Efficient Inference Techniquesaccepted
- Action-Gradient Monte Carlo Tree Search for Non-Parametric Continuous (PO)MDPsaccepted
- Active Arbitration: Decoupling Spatio-Temporal Duality for Efficient Traffic Forecastingaccepted
- Active Diffusion-Based Inference for Ill-Posed Inverse Problems Under Incomplete Priorsaccepted
- AdaGeM: Adaptive Geometric Learning on Manifolds for Hyper-Relational Knowledge Graphsaccepted
- Adaptive GoGI-Skip: Coupling Goal-Gradient Importance with Dynamic Uncertainty for Efficient Reasoningaccepted
- Adaptive Reward Design in Reinforcement Learning: A Taxonomy and Surveyaccepted
- Adaptive TD-Lambda for Cooperative Multi-agent Reinforcement Learningaccepted
- Addressing Downward Memory Loss in Hierarchical GNN Forecasters Through Memory-Buffered Decodingaccepted
- Addressing Overcommitment in the Reasoning of Gendered Economic Memes Under Multimodal Ambiguityaccepted
- Adversarial Attack Framework Against Vision-Language Model Unlearningaccepted
- Adversarial Masked Graph Modeling for Robust Graph Autoencodersaccepted
- Adversarial Optimization Scheme for Threat Detection Based on Hierarchical Oracle Supervisionaccepted
- AgentRetro: Agent-Enhanced Molecular Spectral Domain Generalization Framework for Retrosynthesis Prediction Under Mixed OOD Shiftsaccepted
- Agents Trusting Agents? Restoring Lost Capabilities with Inclusive Healthcareaccepted
- Agreement, Diversity, and Polarization Indices for Approval Electionsaccepted
- AlgoSimBench: Identifying Algorithmically Similar Problems for Competitive Programmingaccepted
- Amortized Multi-Objective Optimization Across Tasks with Generative Solution Modelingaccepted
- An Automated Maintenance Plant for Highwaysaccepted
- An Emotion-Preserving Conditional Information Bottleneck for Domain-Generalizable Speech Emotion Recognitionaccepted
- An Information-theoretic Propagation Denoising and Fusion Framework for Fake News Detectionaccepted
- An LLM-based Chain-of-Response Counter-Scam Systemaccepted
- An XAI View on Explainable ASP: Methods, Systems, and Perspectivesaccepted
- AnoMamba: Aligning Reconstruction with Time Series Anomaly Detection via Selective Global Dependency Modelingaccepted
- Anti-Slavery Intelligence (ASI): An AI-Powered Tool for Modern Slavery Compliance Analysis and Remediationaccepted
- Approximate EFX Under Limited Agent Heterogeneityaccepted
- Approximate Heuristic Search for Semi-Decentralized Systemsaccepted
- Approximate Strategyproofness in Approval-Based Budget Divisionaccepted
- Approximation Algorithms for the Shapley Value: Taxonomy and Propertiesaccepted
- Are White Knights Worth the Trouble? Reconciling POCL and Partial-Order Plans for Plan Optimizationaccepted
- ArogyaSutra: A Multi-Agent Framework for Multimodal Medical Reasoning in Indic Languagesaccepted
- Attention as Selection: Semantic-Guided Time Series Forecastingaccepted
- Attribution-based Explanations for Markov Decision Processesaccepted
- Automated Approach for Solving Infinite-state Polynomial Reachability Gamesaccepted
- Automated Random Embedding for Practical Bayesian Optimization with Unknown Effective Dimensionaccepted
- Automated Safety Verification of Posterior Distributions of Probabilistic Programsaccepted
- AwakeForest: An Interactive Geospatial Platform for Large-Scale Forest Imageryaccepted
- A₃B₂: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learningaccepted
- BAG-Net: Bidirectional Receptive-Field Graph Network for Two-View Correspondence Pruningaccepted
- BAMFair: Barycenter Aligned Mediation for Fairness Across Multiple Sensitive Attributesaccepted
- BEACON: Budget-Efficient Discovery of Policy Violations in Large Language Models via Cognitive-Guided Monte Carlo Tree Searchaccepted
- BEAT2AASIST: BEATs Feature Splitting with Dual-Branch AASIST for Environmental Sound Deepfake Detectionaccepted
- BERM: Low-Overhead Prompt-Injection Detection via In-Situ Benign Representation Modelingaccepted
- BEVFormer++: Temporal Amplified BEVformer with Explicit Parameter Prediction for Automatic Trajectory Predictionaccepted
- BFHD: Bidirectional Feature Harmonization Decomposition for Heterogeneous Clinical Assessmentsaccepted
- BIP Revisited: Enabling Efficient Dominance Pruning for Distributed Constraint Optimizationaccepted
- Band Together: Untargeted Adversarial Training with Multimodal Coordination Against Evasion-Based Promotion Attacksaccepted
- BehaviorBench: A Psychologically Grounded Benchmark for Evaluating Personality in Large Language Models Through Realistic Behaviorsaccepted
- BehaviorGuard: Online Backdoor Defense for Deep Reinforcement Learningaccepted
- Belief-Contraction-Driven Active Inverse Source Localization and Characterizationaccepted
- Benchmarking Real-Time Question Answering via Executable Code Workflowsaccepted
- Benchmarking and Enhancing Relational Diagrams Reasoning for Multimodal Large Language Modelsaccepted
- BetaEdit: Null-Space Constrained Sequential Model Editingaccepted
- Beyond Client Clustering: Fine-Grained Preference Alignment in Federated RLHF via Self-Evolving Routingaccepted
- Beyond Hard Writes and Rigid Preservation: Soft Recursive Least-Squares for Lifelong LLM Editingaccepted
- Beyond Homogeneous Adversaries: Stackelberg Security Games with Mixed Quantal Responseaccepted
- Beyond Homophily: Spectrum-Based Graph Pre-Training and Cluster-Augmented Prompt Tuningaccepted
- Beyond Implicit Constraint: Explicit Low-Rank Structured Subspace Learning for Fast Attributed Graph Clusteringaccepted
- Beyond Isolated Investor: Predicting Startup Success via Roleplay-Based Collective Agentsaccepted
- Beyond Pipeline Mimicry: Expert-level Aesthetic ISP via Reward-Guided Flowaccepted
- Beyond Scaling: A Survey on Data-Efficient Agentic Learningaccepted
- Beyond Sequences: A Dynamic Hierarchical Heterogeneous Spatio-Temporal Graph for Irregular Multivariate Time Series Forecastingaccepted
- Beyond Stability: Improved Efficiency Guarantees for α-Stable Matchingsaccepted
- Beyond Uniform Updates: Drift Pattern Aware Online Time Series Forecasting Under Delayed Feedbackaccepted
- Beyond Vision: A Multimodal Dataset and Framework for Pest Recognition via Plant Electrophysiological Signalsaccepted
- Beyond the Clouds: Reliable and Cloud-Aware Spatiotemporal Fusion via Adversarial Regression Waveletsaccepted
- Beyond the Common Ranking Property: Stable and Efficient Outcomes in Hedonic Games with Top-Coalition Propertiesaccepted
- Beyond the Mean: Gaussian Distributional Successor Features for Zero-Shot Non-Linear Reward Adaptationaccepted
- Beyond “Made with AI”: Visualizing Provenance Density to Mitigate the Transparency Penaltyaccepted
- Bi-CoG: Bi-Consistency-Guided Self-Training for Vision-Language Modelsaccepted
- BioDisco: Multi-Agent Hypothesis Generation with Dual-Mode Evidence, Iterative Feedback and Temporal Evaluationaccepted
- Boosting Knowledge Transfer and Retention with Brain-inspired Multi-View Incremental Learningaccepted
- Bootstrapping Video Interaction Generation with Synthetic State Transitionsaccepted
- BotVA: Combating Social Bots via Variational Feature Augmentation and Adversarial Graph Learningaccepted
- Bounded Fitting for Expressive Description Logicsaccepted
- Bounding Acceptability Degrees and Eliciting Initial Weights in Gradual Argumentationaccepted
- Bounding the Inefficiency of Risk-Averse Selfish Routing with Nonadditive CVaRaccepted
- BrainCGT: A Brain Graph Transformer for Modeling Causal Connectivity in Neurological Disorder Diagnosisaccepted
- Brazilian Indigenous Languages Revitalization at Scale: Reducing Cost and Development Time for Low-Resource Language Coursesaccepted
- Breaking the Reasoning Horizon in Entity Alignment Foundation Modelsaccepted
- Breaking the Trade-off: Orthogonal Semantic Decoupling for Generalizable and Fair Deepfake Detectionaccepted
- Bridge: A Cross-Modal Learning Framework for Unified Semantic Representation in Noisy Communicationaccepted
- Bridging Feature-structural Homophily and Long-range Heterogeneity for Self-supervised Heterogeneous Graph Learningaccepted
- Bridging Inter-View and Client Heterogeneity: Federated Multi-View Clustering Under Non-IID Dataaccepted
- Bridging LLMs and SAT Solving: Automated Evolution of High-Performance Heuristicsaccepted
- Bridging the Biophysical Gap: Holistic Environmental Awareness for 3D Linker Designaccepted
- Bridging the Data Scarcity in Venous Thromboembolism Detection: A Deep Learning Framework for Large-scale Irregular Clinical Time Seriesaccepted
- Bridging the Gap Between Gaussian Splatting and SLAM: A Geometric Gaussian Field-based Gaussian Splatting SLAM Systemaccepted
- Bridging the Objective Gap: A Unified Pre-Training Framework for Few-Shot Medical Image Segmentationaccepted
- Bridging the SEA Gap: An Initial Benchmark for Neural Audio Codec-Synthesized Speech Deepfakes in South-East Asian Languagesaccepted
- Bridging the Semantic Gap: Leveraging LLMs for Hierarchical Interest Evolution in Sequential Recommendationaccepted
- Budget-Aware LLM Quantization and Low-Rank Correction via Information-Guided Subspace Matricesaccepted
- CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detectionaccepted
- CASE-Net: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classificationaccepted
- CDMIQA: A Cross-Domain Perceptual Method and Benchmark Dataset for Medical Image Quality Assessmentaccepted
- CDO-GIA: A Robust Textual Gradient Inversion Attack Against Federated Language Models via Continuous-Discrete Optimizationaccepted
- CDS4RAG: Cyclic Dual-Sequential Hyperparameter Optimization for RAGaccepted
- CE-VFAL: A Novel Framework for Communication-Efficient Vertical Federated Adversarial Learningaccepted
- CHAM-net: A Contrastive Hierarchical Adaptive Meta-network for Robust Global Methane Flux Predictionaccepted
- CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Expertsaccepted
- COAL: Counterfactual and Observation-Enhanced Alignment Learning for Discriminative Referring Multi-Object Trackingaccepted
- COMPACT: Common-token Optimized Model Pruning Across Channels and Tokensaccepted
- COREKG: Coreset-Guided Personalized Summarization of Knowledge Graphsaccepted
- CT2BSE: 3D BSE Microstructural Image Cross-Device Generation from µCT for Cement Hydration via Voxel Swin Transformeraccepted
- Can Edge Addition Be Safe and Effective? Adjacency-Centered Augmentation via Langevin and SDE Diffusion for Self-Supervised Graph Anomaly Detectionaccepted
- Can Quantum Federated Learning Withstand Circuit-Level Backdoors?accepted
- Can Stationary Distributions of Scale-Invariant Neural Networks Be Described by the Thermodynamics of an Ideal Gas?accepted
- CardioBench: Do Echocardiography Foundation Models Generalize Beyond the Lab?accepted
- CasUGC: Aligning User-Generated Comment Evolution with Cascade Dynamics for Popularity Predictionaccepted
- Causal Manifold Transport for Identifiable Causal Generation in Diffusion Modelsaccepted
- Causal Newton Optimization: Online Calibration with Iterative Local Linear Modeling and Newton Updatesaccepted
- Causal Path Alignment: Anchoring the Optimization Trajectory for Controllable In-Parameter Knowledge Editingaccepted
- Centralized and Distributed Approaches for Restoring the Weak Controllability of Multi-Agent Interdependent STNUsaccepted
- Charging Station Placement for Anonymous Mobile Agents: A Parameterized Complexity Perspectiveaccepted
- ChemKGL: Bridging Knowledge Graphs and Large Language Models for Chemical Multi-Step Reaction Pathway Inferenceaccepted
- Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCMaccepted
- ClinAlign: Clinical Workflow Aligned Memory Retrieval for Radiology Report Generationaccepted
- Clinically-Oriented Screening Model for Diabetic Retinopathy Severity Grading and Diabetic Macular Edema Detectionaccepted
- Closing the Motion Execution Gap: From Semantic Motion Task Constraints to Kinematic Controlaccepted
- CoDA: Co-adaptive Dual-path Alignment for Vision-Language Modelsaccepted
- CoDG-Net: Structure-Guided Style Diffusion and Collaborative Learning to Mitigate Catastrophic Forgetting in Medical Image Domain Generalizationaccepted
- CoFL: Consensus Driven Human-AI Collaborative Federated Learningaccepted
- Coarse-to-Fine Domain Incremental Learning with Attentive Distillation for Mining Footprint Segmentation in Multispectral Imageryaccepted
- Coarse-to-Fine Latent Guidance: A Multi-Scale Diffusion Transformer for Traffic Flow Forecastingaccepted
- CodeDelegator: Mitigating Context Pollution via Role Separation in Code-as-Action Agentsaccepted
- Collateral Damage Constrained Backdoor Attacks on Graph Neural Networksaccepted
- Column Generation for the Micro-Transit Zoning Problemaccepted
- Communication-Efficient Federated Video Human Activity Recognition via Discriminative Subspace Discoveryaccepted
- Compact Modeling in Constraint Programming with Hybrid Tablesaccepted
- Competitive Connected Multi-robot Exploration of Unknown Graphsaccepted
- Complementary Branching for #SAT: Bounded-Degree Bounds and Faster #3-SATaccepted
- Complex-Valued Residual Diffusion with GRPO for Pansharpeningaccepted
- Computing Better Approximate Pure Nash Equilibria in Payoff-maximization Potential Gamesaccepted
- Computing Coverage-Based Prime Implicant Explanations for Tree-Based Modelsaccepted
- Computing Epistemtic EF1 and Pareto-Optimal Allocations of Indivisible Choresaccepted
- ConDyGNet: Constraint-Guided Dynamic Graph Networks for Multivariate Time Series Forecastingaccepted
- Concept Bottleneck Models for Explainable Decision Making: A Survey of Progress, Taxonomy, and Future Directionsaccepted
- Connected EF1 Allocations Exist in Discrete Chore Cuttingaccepted
- Conspiracy Spoofing Detection via Structure-Augmented Generative Graph Modelaccepted
- Constant-Memory Strategies in Stochastic Games: A Theoretical and Empirical Studyaccepted
- Constraining Generative Models: A Survey from the Constraint Programming Perspectiveaccepted
- Constraint-Data-Value-Maximization: Utilizing Data Attribution for Effective Data Pruning in Low-Data Environmentsaccepted
- Content-style Disentanglement Guided Representation Learning for Deep Incomplete Multi-view Clusteringaccepted
- Context-Aware Concept Distillation for Trustworthy Flood Predictionaccepted
- Context-Aware Multi-Agent Coordination: Learning Correlated Equilibria Under Situational Constraintsaccepted
- Continual Unsupervised Domain Adaptation for Cardiac Image Segmentation with Style-Adapting Generative Replay and Prototype Consolidationaccepted
- Continuous Multi-Attribute Recognition for Agent Behaviour Understandingaccepted
- Continuous Test-Time Adaptation via Dual Alignmentaccepted
- Contrastive Flow Matching for Sequential Recommendationaccepted
- Controlling Decision Drift in Multimodal Sentiment Analysis with Missing Modalitiesaccepted
- Cooperative Multi-View Graph Learning via High-Rank Tensor Specificityaccepted
- Cost of Structural Learning Under Censored Feedback: A Threshold-Bandit Approachaccepted
- Counterfactual Estimation via Temporal-Aware Intervention Networksaccepted
- Counterfactual Reasoning for Responsibility Attribution in Probabilistic Multi-Agent Systemsaccepted
- Credit Fairness: Online Fairness in Shared Resource Poolsaccepted
- Cross Domain Test Time Scaling: Scale Knowledge and Reasoning on Cross Domainsaccepted
- Cross-Domain AI-Generated Image Quality Assessment via Content-Distortion Awarenessaccepted
- Cross-Modal Dynamic Hypergraph Computation via Functional-Structural Brain Network for Brain Disorder Diagnosisaccepted
- Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggersaccepted
- Cross-Relational Preference Learning for Better LLM Instruction Followingaccepted
- Cross-Sensor Domain Generalization for Non-Contact Sleep Stagingaccepted
- CrossRefine: A Microservice for Cross-Domain Spatial Super-Resolutionaccepted
- Cycles in Liquid Democracy: A Game-Theoretic Justificationaccepted
- D2ACE: Multi-Label Batch Selection Guided by Dual Dynamics and Adaptive Correlation Enhancementaccepted
- D2MDM2: A Brain-Inspired Deep Network Based on DDM Decision-Making Mechanism for Remote Sensing Change Detectionaccepted
- DAHGT-CCI: Dynamic Heterogeneous Graph Transformer for Spatial Transcriptomics Cell-Cell Interaction Inferenceaccepted
- DART: Navigating Last-Mile Heterogeneity in Instant Delivery via Distribution-Adaptive Splinesaccepted
- DASFL: Dynamic Adaptive Split Federated Learning for Heterogeneous Clientsaccepted
- DCIL: DropConnect-based Causal Imitation Learning Under Environment Heterogeneityaccepted
- DELTA: Disentangled Hierarchical Interaction and Adaptive Adjustment for Emotion and Intent Understanding in Multimodal Conversationsaccepted
- DEPLOY-RL: Active Boundary Discovery and Conservative Certification for Deployable Reinforcement Learning in Safety-Critical Continuous Processesaccepted
- DGCPath: Distribution-Aware Generative Contrastive Framework for Self-supervised Path Representation Learningaccepted
- DIAM: Adaptive Drug Repositioning with Decoupled Biological Mechanism and Instance-Aware Modulationaccepted
- DIRECT: Decentralized Intention and Latent Rule Emergence for Multi-Agent Cooperation Under Intermittent Communicationaccepted
- DNA-PPG: A Foundation Model for Photoplethysmography via Dual Neighborhood Alignmentaccepted
- DNFormer: Differential Attention for Graph Transformersaccepted
- DSSG: Dual-Stream Semantic Guidance for Source-Fully-Free Adaptation of Vision-Language Modelsaccepted
- DSSL-Hash: Dynamic Semantic Structure Learning for Unsupervised Cross-Modal Hashingaccepted
- DUALFloodGNN: Physics-informed Graph Neural Network for Operational Flood Modelingaccepted
- DaV-Gen: End-to-End Generative Retrieval via Draft-and-Verifyaccepted
- DanceStyleCam: Style-Based 3D Multi-Style Dance Camera Movement Synthesisaccepted
- DataCube: A Video Retrieval Platform via Natural Language Semantic Profilingaccepted
- DeTri: Debiasing General-Purpose LLMs for Zero-Shot Relation Triplet Extraction via Structural Expertaccepted
- Debate with Myself: Zero-Shot Event Causality Identification with Adversarial Evidence Integration via Large Language Modelsaccepted
- Deep Identification of Propagation Trees in Graph Diffusionaccepted
- Deep Learning and Foundation Models for Weather Prediction: A Surveyaccepted
- Deep Reinforcement Learning Enhanced Semi-supervised Graph Neural Network for Credit Card Fraud Detectionaccepted
- DeepL Voice: Real-Time Speech-to-Speech Translationaccepted
- DeepLog: A Software Framework for Modular Neurosymbolic AIaccepted
- DeepMed Search: An Open-Source Agentic Platform for Medical Deep Research with Introspective Verificationaccepted
- DeepSTE: Deep Spectral Temporal Embeddings for Dynamic Graph Representation Learningaccepted
- Democratizing Ski Safety: Real-Time Turn Segmentation with Smartphone IMU and Causal LSTM Networksaccepted
- Detect, Attend and Extract: Keyword Guided Target Speaker Extractionaccepted
- Detection-Explanation-Improvement: A Closed-Loop Framework of Enhancing Anomaly Detection with Counterfactual Explanationsaccepted
- Deterministic Implementation in Single-Item Auctionsaccepted
- Detoxifying Large Language Models via Localized Feature Editing with Sparse Autoencodersaccepted
- DiG-Plan: Mitigating Early Commitment for Tool-Graph Planning via Diffusion Guidanceaccepted
- DiSGMM: A Method for Time-varying Microscopic Weight Completion on Road Networksaccepted
- DiffLOB: Diffusion Models for Counterfactual Generation in Limit Order Booksaccepted
- DiffVec: Diffusion Model for Trajectory Vector Recoveryaccepted
- Differentiable Spectral Normalization for Large-Scale Ising Optimizationaccepted
- Diffract and Conquer: Hyperspectral Imaging from Any RGB Camera via Optical Encoding and Learningaccepted
- Directional Hallucinations: Ideological Drift in News-Grounded LLM Question Answeringaccepted
- Discrete Cosine Transform Based Decorrelated Attention for Vision Transformersaccepted
- Disentangled Graph-Enhanced Large Language Models for Fair Learningaccepted
- Disentangled Hypergraph Network with Implicit Structure Learning for Mobility Social Relationship Inferenceaccepted
- Disentangled Knowledge Forgetting in Machine Unlearningaccepted
- Disentangling Coarse and Fine Latent Dynamics for Probabilistic Time Series Forecastingaccepted
- Distance Between CP-theory Preferencesaccepted
- Distilling and Scaling Hierarchical Vision Transformer to 30B Parametersaccepted
- Distributed Learning with Adversarial Gradient Perturbationsaccepted
- Distribution-Aware Energy Minimization: Physical-Inspired Efficient Active Learning and Quantum Potentialsaccepted
- Disturbance-Aware Hybrid Learning for Robust and Adaptive UAV Flight in Extreme Windsaccepted
- DivCon-NeRF: Diverse and Consistent Ray Augmentation for Few-Shot NeRFaccepted
- DiverValue-Bench: A Benchmark and Fine-Tuning Framework for Aligning Large Language Models with Diverse Human Valuesaccepted
- Diverge to Converge: Mutual Heterogeneous Learning for Robust Pruningaccepted
- Diversity of Extensions in Abstract Argumentationaccepted
- Do Not Discretize, Optimize: Almost Greedy Fictitious Playaccepted
- DoMoE: Domain-Aware Semantic Expert Prediction for Efficient MoE Inference Under Expert Offloadingaccepted
- Domain-Informed Graph Neural Networks for Climate Factor Forecasting to Support Sustainable Crop Managementaccepted
- Double Bounded Neural Ray Queriesaccepted
- Double-Calibration: Towards Reliable LLMs via Calibrating Knowledge and Reasoning Confidenceaccepted
- Dual Branch Mutual Teaching for Long-Tailed Partial Label Learningaccepted
- Dual-Adversarial Dynamic Variational Asset Pricing with Adaptive Spatio-Temporal Feature Clustering for Portfolio Recommendationaccepted
- Dual-Channel Hybrid Graph Neural Network for Mobility Social Relationship Inferenceaccepted
- Dual-Channel Semantic-Enhanced Combinatorial Medication Recommendation via Knowledge Distillationaccepted
- Dual-Process Distribution Calibration: Bridging Slow-Fast Thinking for Few-Shot Learningaccepted
- Dual-Topology Learning with Adaptive Anchors for Multi-View Clusteringaccepted
- Dual-View Self-Supervised Pre-Training for Expert Findingaccepted
- DyG-Seg: Unsupervised 3D Point Cloud Segmentation via Geometric Manifold Rectificationaccepted
- DynaOD: Dynamic Origin-Destination Flow Generation with Discrete-to-Continuous Temporal Semantic Modelingaccepted
- Dynamic Heterogeneous Graph Representation Learning: A Surveyaccepted
- Dynamic Multi-Path Retrieval for Knowledge-based Visual Question Answeringaccepted
- D²G-TO: Task-aware and OOD-guided Discrete Graph Diffusion for Robust CNS Drug Discoveryaccepted
- EKFEdit: Extended Kalman Filter for Training-Free Flow-Based Image Editingaccepted
- EMMS: Evidential Multi-Label Multi-Dimensional Selectionaccepted
- EVA-Gen: When Perception Learns from Value via Generative Models in Decentralized Multi-Agent Systemsaccepted
- EVENTTSF: Event-Aware Non-Stationary Time Series Forecastingaccepted
- Efficient Algorithms for Influence Maximization in General Models and Observed Cascadesaccepted
- Efficient Minimization of Decision-DNNF Circuits via Semantic Hashing and Provenance Trackingaccepted
- Efficient Optimization of Fixed-Length Pathsaccepted
- Efficient Parallel Algorithms with Linear Queries for Non-Monotone Submodular Maximizationaccepted
- Efficient Time Series Clustering from Multiscale Reservoir Dynamics with Granular-Ball Anchoring Graph Optimizationaccepted
- Efficient and Exact Global Attention on Latent Summaries for Knowledge Graph Reasoningaccepted
- ElderMTL: Multi-Task Affect Monitoring for Elderly Careaccepted
- Eliminating Envy in Multigraphs Through Subsidyaccepted
- Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speechaccepted
- Empirical Evidence and Analysis of a Critical Pitfall in Reward Learning from Human Feedbackaccepted
- Empowering Precise Embodied Agents with Executable Analytic Concepts as Semantic-Physical Blueprintsaccepted
- Empowering Self-Balance of Deep Information Bottleneck for Multimodal Clusteringaccepted
- Endo-GSG: Endoscopic Gaussian Splatting with Geometry-Awareness for Dynamic Tissue Reconstruction via Single-View Monocular Knowledgeaccepted
- Energy-Regularized Spatial Masking: A Novel Approach to Enhancing Robustness and Interpretability in Vision Modelsaccepted
- Ensuring Logic in the Fog: Sound POMDP Synthesis with LTL Objectivesaccepted
- Environment-Aware Multiscale Geometric Interaction for Equivariant Molecular Spectral Predictionaccepted
- EnzyPGM: Pocket-conditioned Generative Model for Substrate-specific Enzyme Designaccepted
- Equilibrium Refinements Improve Subgame Solving in Imperfect-Information Gamesaccepted
- EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Preference Optimizationaccepted
- ExLipBaB: Exact Lipschitz Constant Computation for Piecewise Linear Neural Networksaccepted
- Explaining Jailbreaks: Structured and Interpretable Safety Assessment for Large Language Modelsaccepted
- Explaining, Verifying and Aligning Semantic Hierarchies in Vision-Language Model Embeddingsaccepted
- Exploring Internal Emphasis for Robust Noisy RAGaccepted
- Exploring the System 1 Thinking Capability of Large Reasoning Modelsaccepted
- Extending Weighted Heuristic Search to Bi-Objective Search Problemsaccepted
- EyeCue: Driver Cognitive Distraction Detection via Gaze-Empowered Egocentric Video Understandingaccepted
- FACET: Multi-Agent AI Supporting Teachers in Scaling Differentiated Learning for Diverse Studentsaccepted
- FILD-Nav:Vision-and-Language Navigation with Instruction Landmark Features in Continuous Environmentsaccepted
- FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networksaccepted
- FairTCD: Dual-Teacher Temporal Contrastive Distillation for Twofold Fair Dynamic Graph Embeddingaccepted
- Fairly Dividing Non-identical Random Items: Just Sample or Matchaccepted
- Fairness and Stability in Allocation-Induced Hedonic Gamesaccepted
- Fairness k-Submodular Maximization Subject to Matroid Constraintaccepted
- Falsdo: Benchmarking Artifact-Controlled Multimodal Fake News Verification via Failure-Aligned Auditingaccepted
- Fast Algorithms for Lexicographic Inferenceaccepted
- Fast and Generalizable AI-Generated Image Detection via Model-Agnostic Feature Reconstructionaccepted
- Feature Selection via Information Decomposition and Orthogonality Constraint for Partial Multi-Label Dataaccepted
- FedAMB: Adaptive Modality Balancing for Dominance-Robust Multimodal Federated Distillationaccepted
- FedCARE: Federated Unlearning with Conflict-Aware Projection and Relearning-Resistant Recoveryaccepted
- FedCIGAR: A Personalized Reconstruction Approach for Federated Graph-Level Anomaly Detectionaccepted
- FedENC: Federated Adaptive CLIP Model via Energy Alignment and Neural Collapseaccepted
- FedEvoQ: Evolutionary Diversity Probing for Data-Quality-Aware Federated Aggregationaccepted
- FedFINFO: A General Full-Informativeness Federated Graph Learning from Open Cross-Domain Dataaccepted
- FedGLoRA: Grassmann-Manifold Federated Learning via Dual LoRA for Large EEG Modelsaccepted
- FedUP: One-Shot Federated Unlearning via Centroid-Guided Plug-in Filtersaccepted
- FedUP: Uncertainty-Aware Personalized Federated Learning via Probabilistic Prototypesaccepted
- FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraintsaccepted
- Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Modelsaccepted
- Finding Simple Shortest-Paths via Centroidsaccepted
- First Mathematical Runtime Analyses of Multi-Objective Evolutionary Algorithms for Multi-Valued Decision Variablesaccepted
- FlowID: Enhancing Forensic Identification with Latent Flow-Matching Modelsaccepted
- FlowOCT: Wavelet Flow Matching for OCT-to-OCTA Translationaccepted
- Focus Like a Human: Efficient GUI Grounding via Coarse-to-Fine Visual Attention and Parallel Verificationaccepted
- Focus-LIME: Surgical Interpretation of Long-Context Large Language Models via Proxy-Based Neighborhood Selectionaccepted
- FossilWriter: Learning Hypergraph World Models with Latent Narratives for Creative Story Generationaccepted
- FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classificationaccepted
- Frequency-Aware Augmentation and Alignment for Time Series Contrastive Learningaccepted
- From Compression to Construction: Pseudo Neighbor Augmentation Sampling for Dynamic Link Predictionaccepted
- From Discrete to Continuous: Progressive Hybrid-Distributional Learning for Gradual Emotion Transitionsaccepted
- From Diversity to Uniformity: Cross-modal Time Series Modeling with Dependent Channel Groupingaccepted
- From Gridworlds to Warehouses: Adapting Lightweight One-shot Multi-Agent Pathfinding for AGVsaccepted
- From Human Videos to Robot Manipulation: A Survey on Action-Relevant Representation Transfer for Scalable Vision-Language-Action Learningaccepted
- From Language to Segmentation: Collaborative Category-Guided Unsupervised Camouflaged Object Detection with SAM3accepted
- From Multimodal Perception to Strategic Reasoning: A Survey on AI-Generated Game Commentaryaccepted
- From Neural Collapse to Label-Limited Evolving Streams: Geometry-Constrained Learning Under Dynamic Class Imbalanceaccepted
- From Standard to Robust: A Universal Framework for Continual Adversarial Defenseaccepted
- From Surface Learning to Deep Understanding: A Grounded AI Tutoring System for Moodleaccepted
- From Time Series Analysis to Question Answering: A Survey in the LLM Eraaccepted
- From Traits to Roles: Consensus-Guided Composition of Orthogonal Experts for Cooperative MARLaccepted
- From Values to Tokens: An LLM-Driven Framework for Context-Aware Time Series Forecasting via Symbolic Discretizationaccepted
- FunCineForge: A Unified Dataset Pipeline and Model for Zero-Shot Movie Dubbing in Diverse Cinematic Scenesaccepted
- G-SalAlignMamba: Geometry-Aware Vision Mamba for Dual-Modal Salient Object Detectionaccepted
- G-VTM: A Multimodal Vision-Trajectory Model for Generalized Vehicle Trajectory Predictionaccepted
- G2C-MT: Graph-Guided Context Selection for Document-Level Machine Translationaccepted
- GBD-DRP: Generalizable Bias-Disentangled Learning for Drug Response Prediction with Missing Modalitiesaccepted
- GBFlow: Grouping Belief-Guided Dual Normalizing Flows for Accurate Spatial Domain Delineationaccepted
- GDAs-OT: A Prediction Method of Gene-Disease Associations Based on Optimal Transport for Identifying Genes Related to Immune-Related Adverse Eventsaccepted
- GEV: Statically Correct and Programmable Knowledge Graph Updatesaccepted
- GMENet: Generative Mixture of Experts Network for Multi-Center Glioma Diagnosis with Incomplete Imaging Sequencesaccepted
- GMM-TDQN:Two-Stage Multi-Objective Reinforcement Learning for Large-Scale Edge Server Deploymentaccepted
- GPD: Guided Progressive Distillation for Fast and High-Quality Video Generationaccepted
- GRAIL: An Agentic AI Architecture for Interactive Grant Proposal Writingaccepted
- GRALP: A Generative Representation Framework for Action Refinement and Latent Planning in Offline Robotic Controlaccepted
- GRASP: Enhancing Zero-Shot Multi-Modal Anomaly Detection via Geometric Refinement and Semantic Promptingaccepted
- GRASP: Hard-Label Black-Box Malware Evasion with Higher Success, Fewer Queries, and Smaller Perturbationsaccepted
- GUI-ReWalk: Massive Data Generation for GUI Agent via Stochastic Exploration and Intent-Aware Reasoningaccepted
- GenID: A Generalizable Physical-Layer Device Identification Method for Out-of-Distribution Environmentsaccepted
- GeneCaDiff: Hierarchical Tissue Image Synthesis from Gene Expression via Multi-Stage Cascaded Diffusion Modelaccepted
- Generalization Analysis for Adversarial Vision Transformeraccepted
- Generalizing Bayesian Human-AI Collaboration: Theory and Application in Data-Scarce Environmentsaccepted
- Generating High-Diversity Synthetic Tabular Data via Less-Constrained Prioraccepted
- GeoMind: Explicit Spatial Reasoning via Dual-Reference Geometric Modelingaccepted
- GeoSFLoRA: Geometry-Conditioned Spectral Flow Low-Rank Adaptation for 2D-to-3D Transfer in Medical Image Segmentationaccepted
- Geodesic Expert Routing for Unbiased Knowledge Distillation in Recommendationaccepted
- Geometry-Aware Riemannian Residual Displacement for Cross-Broad-Domain Graph Anomaly Detectionaccepted
- Going Beyond the Edge: Distributed Inference of Transformer Models on Ultra-Low-Power Wireless Devicesaccepted
- Gradient Enhancement Task Aware Post-training Quantizationaccepted
- Gradient-Based Join Orderingaccepted
- Grammar-State Aware Beam Search for Enhancing Structural Diversity in LLM Generationaccepted
- Graph Anomaly Detection via Feature Selection with Local Topological Residualsaccepted
- Graph Label Denoising via Neighborhood Agreement–Guided Expectation Maximizationaccepted
- Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Surveyaccepted
- Graph4LLM: A Systematic Survey of Graph-Enhanced Large Language Modelsaccepted
- GraphPerf-RT: Graph-Driven Performance Modeling with Calibrated Uncertainty for OpenMP Scheduling on Heterogeneous Embedded SoCsaccepted
- GraphSculptor: Sculpting Pre-training Core Sets for Graph Self-supervised Learningaccepted
- Group Vitality Indices: Axioms and Algorithmsaccepted
- GroupMIL: Semantic Group Based Multiple Instance Learning for Whole Slide Image Analysingaccepted
- Guard4D: Robust Watermarking for 4D Gaussian Splatting via Decoupled Decodingaccepted
- Guiding Team Objectives with Individual Policies: A Two-Stage Model Aggregation Framework for Partially Cooperative MARLaccepted
- HFFN-ID: A Hierarchical Feature Fusion Network with Bi-Phase Subject ID Modulation for EEG Mel-Spectrogram Reconstructionaccepted
- HGOOD: Hypergraph-enhanced Graph Contrastive Learning for Graph Out-of-Distribution Detectionaccepted
- HT-Transformer: Event Sequences Classification by Accumulating Prefix Information with History Tokensaccepted
- H^2Net: Homo- and Heterogeneous Networks for Unified Segmentationaccepted
- HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generationaccepted
- Harmonizing Federated Heterogeneous Optimization via Adaptive Objective Rectificationaccepted
- Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Schedulingaccepted
- Harnessing Multiple Large Language Models: A Survey on LLM Ensembleaccepted
- HealthMamba: An Uncertainty-aware Spatiotemporal Graph State Space Model for Effective and Reliable Healthcare Facility Visit Predictionaccepted
- HiCD: Hyperbolic Insight Through Decomposed Educational Graphs for Long-Tailed Cognitive Diagnosisaccepted
- HieraMix: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecastingaccepted
- Hierarchical Conditional Energy Modeling for Medical Vision–Language Pretrainingaccepted
- HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Dataaccepted
- History Doesn’t Repeat, but Its Patterns Echo: A Parallel Pairwise Negative-Sampling Framework for Temporal Link Predictionaccepted
- How Well Do Large-Scale Chemical Language Models Transfer to Downstream Tasks?accepted
- Human-Centric Behavior-Aware Adaptive Off-Policy Selectionaccepted
- Human-in-the-Loop Meta Bayesian Optimization for Fusion Energy and Scientific Applicationsaccepted
- HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answeringaccepted
- Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inferenceaccepted
- HyperXRec: Unifying Preference Clusters and LLM Experts for Robust Explainable Recommendationsaccepted
- H²SCAN: Adaptive Time Series Representation Learning via Heterogeneous Hypergraph Structure-aware Contrastsaccepted
- I-EDI: Robust Self-Evolution Agents via Verifiable Counterfactual Simulationaccepted
- IC3-Evolve: Proof-/Witness-Gated Offline LLM-Driven Heuristic Evolution for IC3 Hardware Model Checkingaccepted
- ICFD-31k: A Large-Scale Dataset and Benchmark for Real-Time Conversational Fraud Detectionaccepted
- ILR-SMO: Iterative Latent Refinement for Robust Spatial Multi-Omics Integrationaccepted
- INSHAPE: Instance-Level Shapelets for Interpretable Time-Series Classificationaccepted
- IPSM-Bench: A New Intermediate Phase Segmentation Benchmark in Microstructure Images of Zinc-Based Absorbable Biomaterialsaccepted
- ITBoost: Information-Theoretic Trust for Robust Boostingaccepted
- IWCNet: Intervention-based Weight Calibration Network for Multi-center Multi-modality MRI Lesion Segmentationaccepted
- Identification of Probabilities of Causation: From Recursive to Closed-Form Boundsaccepted
- IdentityMask: A Robust Face-Centric Privacy Protection Against Unauthorized Personalization of Diffusion Modelsaccepted
- Implicit Identity Technologies for LLMs: Fingerprinting and Watermarking Across Datasets, Models, and Generated Contentaccepted
- Improving Code Translation with Syntax-Guided and Semantic-aware Preference Optimizationaccepted
- Improving Multimodal Reasoning via Worst Dimension Optimizationaccepted
- Improving Scientific Formula Verbalization in Large Speech Language Models for Accessible Learningaccepted
- Improving Survey Participation in Low-Literacy Populations Through Value-Sensitive Conversational AIaccepted
- In-Context Reinforcement Learning via Communicative World Modelsaccepted
- Incentive-Compatible Diffusion Combinatorial Auctionsaccepted
- Incentivizing Truthful Machine Unlearning via Hierarchical Auditingaccepted
- Inductive Knowledge Graph Wave Networksaccepted
- Info-Driven Zero-Cost Proxy: Rethinking Vision Transformer Architecture Evaluation via Information Quantificationaccepted
- Information Entropy for LLM-generated Text Detectionaccepted
- Information and Contract Design for Repeated Interactions Between Agents with Misaligned Incentivesaccepted
- Information-Needs-Guided Virtual Knowledge Graph Enrichment via Large Language Modelsaccepted
- Injecting Qualitative Spatial Reasoning into World Models via Logic Tensor Networksaccepted
- Instance-Aligned Semantic Reconstruction for Incomplete Multi-View Clusteringaccepted
- Integer Splittable Congestion Games with Capacitated Resources and Player-Specific Costsaccepted
- Integrating Atmospheric Dispersion Modeling Priors into Cuboid Splatting for Spatiotemporal Reconstruction of Airborne Radioiodine After Nuclear Accidentsaccepted
- Intent Hub: A Self-Healing Semantic Agent Routing System for Resolving Overlap in Agentic Systemsaccepted
- InterLight: Leveraging Intrinsic Illumination Priors for Low-Light Image Enhancementaccepted
- Interaction Effects in Hybrid Compression of Small Language Modelsaccepted
- Interactive All-in-One Image Restoration and Fusionaccepted
- Interactive Open-Set Semantic Mapping with a 3D Scene Graph Backendaccepted
- Interactive System for Reducing Error Propagation in Multi-Stage Ancient Egyptian Text Analysisaccepted
- Invariant Graph Representations for Continuous-Time Dynamic Graphs Under Distribution Shiftsaccepted
- Inversely Learning Transferable Rewards via Abstracted Statesaccepted
- JURIS: Bringing the Jury System to Multi-Agent Summarizationaccepted
- Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interactionaccepted
- Joint Multi-Modal Multi-Interest Profiling and Preference-Grounded Reasoning for Explainable Recommendationaccepted
- Joint Neural Architecture Search and Token Pruning for Efficient Visual Trackingaccepted
- JointScaler: A Hierarchical Multi-Indicator Distribution Forecasting Approach for Uncertainty-Aware Joint Scaling in Cloud Servicesaccepted
- Keep Experts Diverse: A Task-Aware MoE for Multi-Task Traffic Analysisaccepted
- Knowing When Not to Predict: Self Supervised Learning and Abstention for Safer DR Screeningaccepted
- Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomyaccepted
- LBA: Textual Hard-Label Adversarial Attack Under Low Query Budgetsaccepted
- LECDPR:LLM Enhancement and Concept-Document Interactive Modeling for Prerequisite Relation Predictionaccepted
- LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptationaccepted
- LEMD: Latent Environment Extrapolation and Message Disentanglement for Dynamic Graph Under Distribution Shiftaccepted
- LFS: Learnable Frame Selector for Event-Aware and Temporally Diverse Video Captioningaccepted
- LISA: Language-guided Interference-aware Spatial-Frequency Attention for Driver Gaze Estimationaccepted
- LISTEN to Your Preferences: An LLM Framework for Multi-Objective Selectionaccepted
- LLARS: Enabling Domain Expert & Developer Collaboration for LLM Prompting, Generation and Evaluationaccepted
- LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosisaccepted
- LLM-Based Agents on the Edge: A Survey of Privacy, Scalability, Heterogeneity, and Autonomyaccepted
- LLM-Enhanced Knowledge and Learning Path Understanding for Graph-based Educational Recommendationaccepted
- LLM-Guided Monte Carlo Tree Search over Knowledge Graphs: Composing Mechanistic Explanations for Drug–Disease Pairsaccepted
- LLM-Orchestrated Diagnose–Plan–Treat for Mixed-Degradation CT Reconstructionaccepted
- LLM-Summarized Interest Distillation for Multimedia Recommendationaccepted
- LLM-based Intelligent Tutoring Systems: A Surveyaccepted
- LLM-guided Cutting-plane Management for Mixed-integer Linear Programmingaccepted
- LLM-to-Map: Transparent Conversational Tool Orchestration for Real-Time Multi-Domain Simulationaccepted
- LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropyaccepted
- LLMs as Parametric Knowledge Sources for Knowledge Graph Completionaccepted
- LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Modelsaccepted
- Label Confidence Recovery with High-order Label Correlation in Partial Multi-label Learningaccepted
- Label Distribution Imputation and Bias-Corrective Representation Learning for Incomplete and Imbalanced Label Distributionaccepted
- Label Enhancement via Cross-View Fusion and Mixed Graph Propagationaccepted
- Large Language Models for Blockchain Security and Analytics: A Surveyaccepted
- Large Lemma Miners: Can LLMs Do Induction Proofs for Hardware?accepted
- Latents-Inv:Robust Semantic Watermark via Dual-Path Mutual Information Redundancy for Diffusion Modelsaccepted
- Learnable Data Augmentation and Contrastive Pre-training for Temporal Link Predictionaccepted
- Learning Counterfactual Fairness from Authentic Generationaccepted
- Learning Heterogeneous Global Local Frequency Dependencies in Diffusion-Based Image Compressionaccepted
- Learning Hyperspherical Time–Frequency Representations for Time-Series Out-of-Distribution Detectionaccepted
- Learning Kernelized Hypothesis for Hidden Confounder Detectionaccepted
- Learning Local Feature Masks with Variational Information Bottleneckaccepted
- Learning Minimally Rigid Graphs with High Realization Countsaccepted
- Learning Multi-Indicator Weights for Data Selection: A Joint Task-Model Adaptation Framework with Efficient Proxiesaccepted
- Learning PDE Solvers with Physics and Data: A Unifying View of Physics-Informed Neural Networks and Neural Operatorsaccepted
- Learning Quantitative Automata Modulo Theoriesaccepted
- Learning Tree Automata with Term Rewritingaccepted
- Learning Well-Structured Logits: Leveraging Vision–Language Complementarity for Open-World Test-Time Adaptationaccepted
- Learning to Harvest: VR-Guided Expert Behaviour Capture for Decision Modelling in Agricultural Robotsaccepted
- Learning to Price and Stock Under Contextual and Censored Demandaccepted
- Learning to Remove Coupled Rain and Mist from Single Degradation Priorsaccepted
- Learning to Route LLMs from Implicit Cost-Performance Preferences via Meta-Learningaccepted
- Learning to Solve and Optimize by Evolving Codeaccepted
- Learning to Sparsify Stochastic Linear Banditsaccepted
- Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Predictionaccepted
- Learning with Semantic Priors: Stabilizing Point-Supervised Infrared Small Target Detection via Hierarchical Knowledge Distillationaccepted
- Less Is More: Proportional Memory-Guided Differential-Attention MIL for Whole-Slide Image Classificationaccepted
- Leveraging Implicit Contexts via LLM–Graph Fusion for Temporal Knowledge Graph Reasoningaccepted
- Leveraging Over-Parameterization to Improve the Verifiability of Neural Networksaccepted
- Listen and Count: Expanding the Frontier of Zero-Shot Object Counting to Sound-centric Countingaccepted
- LoCo: Low-Rank Compositional Rotation Fine-Tuningaccepted
- Local Geometry Improves Explanation Robustness for Graph Neural Networksaccepted
- LogicFusion: Differentiable Logical Rule Learning for Cancer Driver Gene Identificationaccepted
- Lookahead Branching for Neural Network Verificationaccepted
- Looking at Your Photo, What Comes to Mind? Personalized Memory Internalization for Dementia Reminiscenceaccepted
- Low-Latency Real-Time Audio Game Commentary System via LLM-based Parallel Text Generationaccepted
- Lucyde: A Demonstrator for Explainable Artificial Intelligence and Interactive Machine Learningaccepted
- M-LoRA: Efficient Serving for Concurrent LoRA Adapters with Memory-Aware Speculative Scheduler on Single GPUaccepted
- MA-RWG: A Multi-Agent Framework for Thematically Structuring and Generation of Related Workaccepted
- MAgSeg: Segmentation of Agricultural Landscapes in High-Resolution Satellite Imagery using Multimodal Large Language Modelsaccepted
- MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queriesaccepted
- MELLA: Bridging Linguistic Capability and Cultural Groundedness for Low-Resource Language MLLMsaccepted
- MFMSRNet: An Interpretable Multi-frequency and Multi-scale Riemannian Network for Motor Imagery Decodingaccepted
- MGRec: Structure-Grounded Medication Recommendation via Condition-Aware Molecular Representation Learningaccepted
- MLDA: Test-Time Multi-Level Adaptation with Dynamic Alignment for Compositional Zero-Shot Learningaccepted
- MLLM-ITM: Multimodal Large Language Model Promotes Inverse Tone Mappingaccepted
- MLLMs Get It Right, Then Get It Wrong: Tracing and Correcting Late-Layer Textual Biasaccepted
- MOBO: A Merging-Oriented Bi-Level Optimization Framework for Class Incremental Learningaccepted
- MORL-CA: Dynamic Multi-Objective Reinforcement Learning for Chlor-Alkali Process Optimization Under Time-Varying Conditionsaccepted
- MP2D: Constrained Monte Carlo Tree-Guided Diffusion for Multi-Objective Protein Sequence Designaccepted
- MTP-DDA: Enhanced Drug-Disease Associations Prediction via Multi-task Learning with Multi-view Graph Convolutional Networks and Contrastive Learningaccepted
- MV-FAC: Mean–Variance Value Function Factorization for Multi-Robot Mean–Standard Deviation Moving Target Searchaccepted
- MVRNet: A Multi-View Refinement Network for Accurate Recognition of Challenging Intracranial Aneurysms in Enhanced 3D CTA Imagesaccepted
- Machine Learning Methods for Studying Latent Neural Activity Dynamicsaccepted
- Making Weak Supervision Interactive: Exploring Transfer from Sound Libraries to Passive Acoustic Monitoring Dataaccepted
- ManiSplat: Manipulation Trajectory Synthesis from Monocular Video via Decoupled 3D Gaussian Splattingaccepted
- Manifold-Aligned Rectification Flow for Denoised Social Recommendationaccepted
- Manifold-Aware Point Cloud Completion via Geodesic-Attentive Hierarchical Feature Learningaccepted
- Manifold-Constrained Adversarial Training for Long-Tailed Robustness via Geometric Alignmentaccepted
- Mapping the Efficiency Landscape of Small Language Modelsaccepted
- MarCon: Max-Margin Contrastive Learning for Imbalanced Domain Adaptation Semantic Segmentationaccepted
- Mask-Guided Hybrid Triggers for Robust Clean-Label Backdoor Attacksaccepted
- MathCritique: Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervisionaccepted
- Maximum Satisfiability of Simple Temporal Problemsaccepted
- McGcn: Learning Continuous Graph Dynamics for Multi-Channel Fusionaccepted
- Med-StepBench: A Hierarchical Reasoning Framework for Evaluating Hallucinations in Medical Vision-Language Modelsaccepted
- MedFiTRG: Jointly Learning Dynamic Temporal and Cross-Patient Graphs for Clinical Outcome Predictionaccepted
- MedVCoT: Bridging the Modality Gap in Medical VQA Through Latent Visual Reasoningaccepted
- MemoVAD: Resource-Efficient Video Anomaly Detection via Dynamic Semantic Memory in Edge Computing Scenariosaccepted
- Merging Beliefs and Counterfactualsaccepted
- Meta-Cognitive Resonance Label Correction for Instance-Dependent Noiseaccepted
- MeteGS:Meteorology-Guided Gaussian Splatting for Scene Rendering and Recovery in Adverse Weather Conditionsaccepted
- MindCopilot: Towards Formalizing and Evaluating Granular Human-LLM Co-Writingaccepted
- MindTracker: Unveiling Implicit Emotions in Long-Horizon Dialoguesaccepted
- MiniST: Unlocking Input Window Length in Traffic Flow Forecasting with Compact Parametersaccepted
- Mining Statistically Likely k-Reachable States in Probabilistic Programsaccepted
- Missingness-MDPs: Bridging the Theory of Missing Data and POMDPsaccepted
- Mitigating Backdoors via Decoy Shortcuts and Knowledge Decouplingaccepted
- Mitigating Collaboration Degeneration in Multi-Agent Code Generation via a Controllable Competitive Collaboration Approachaccepted
- Mitigating Dynamic Graph Distribution Shifts via Spectral Augmentationaccepted
- Mitigating Entity Type Confusion in Cross-Domain NER via Multidimensional Quantification and Reasoning Enhancementaccepted
- Mitigating Tool Overuse for LLMs via Active Knowledge Boundary Probingaccepted
- Mixture of Clustering Experts with Dual Consistency for Multi-View Clusteringaccepted
- MoTRa: Motion-Aware Target Representation Learning for End-to-End Multi-Object Trackingaccepted
- Model-Based Reinforcement Learning in Discrete-Action Non-Markovian Reward Decision Processesaccepted
- Modeling Dynamic Mixtures of Time-Delay Systems from Streaming Time Seriesaccepted
- Modeling Liquid Democracy: A Survey of the (Computational) Social Choice Literatureaccepted
- Monitoring Data-aware Temporal Propertiesaccepted
- MonoPure: Multi-Component Purification via Disentangled, Projective Representations for Monocular 3D Object Detectionaccepted
- Multi-Agent Non-Discriminatory Contractsaccepted
- Multi-Scale Residual Graph Learning with Contextual Memory for Sleep Stagingaccepted
- Multi-Semantic Aware Self-Supervised Learning for Multi-Label Node Classificationaccepted
- Multi-View Alignment and Denoising via Center-Guided Spectral Diffusionaccepted
- Multi-View Ensemble for Time Series Anomaly Detection via Coupling Flowsaccepted
- Multi-view Regression Clustering via Low-Rank Manifold Decompositionaccepted
- MultiGeo: Predicting Drug-Target Affinity via Adaptive Multi-Conformation Ensemble Learningaccepted
- Multiagent Stochastic Shortest Path Problemaccepted
- Multimodal Emotion Recognition with Large Language Modelsaccepted
- Multiscale-adaptive and Size-adaptive PSO-based Feature Selection for Gene Expression Analysisaccepted
- Music Atelier: Exploring the Knowing–Doing Gap in LLM Creativity via Symbolic Music Compositionaccepted
- Mutual Information Guided Reinforcement Learning for Ambiguous Label Disambiguationaccepted
- Mutually Reinforced Fair Multi-View Clusteringaccepted
- NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-Expertsaccepted
- NN-kNN for Regression: Accurate Prediction from Interpretable Retrievalaccepted
- NPRIP: Nucleus-to-Periphery Retrieval-Iterative Prompting for Improved Abstractive Summarization in Low-Resource Mongolianaccepted
- NaVQA: Mitigating Silent Failures in Question Answering over Virtual Knowledge Graphaccepted
- Neural Decision-Propagation for Answer Set Programmingaccepted
- Neural Projection Fusion for Sliced Wasserstein on the Hypersphereaccepted
- Neuro-Symbolic Logical Reasoning with Textual Entailmentaccepted
- NeuroDALEC: A Differentiable and Interpretable Mass-Conserving Framework for Terrestrial Ecosystem Carbon Cycle Dynamicsaccepted
- Neurosymbolic Framework for Concept-Driven Logical Reasoning in Skeleton-Based Human Action Recognitionaccepted
- No More Shortcuts: Network Traffic Anomaly Detection via Bidirectional Predictionaccepted
- Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networksaccepted
- OJBKQ: Objective-Joint Babai-Klein Quantizationaccepted
- ORBIT: Optimal Recommendation Framework for Boarding with Interpretable Timelinesaccepted
- Object-Centric Alignment and Anchor Distillation for Weakly Supervised Referring Expression Comprehensionaccepted
- Obstacle Avoidance and Trajectory Tracking of Redundant Manipulators with Unknown Physical Parameters Under Multiple Constraintsaccepted
- Off-Policy Evaluation and Learning for Survival Outcomes Under Censoringaccepted
- On the Impact of Crossover in Many-Objective Optimization: A Runtime Analysis of NSGA-IIIaccepted
- On the Privacy-Preserving Capabilities of PAVE Specifications in Learnwareaccepted
- On the Size Complexity and Decidability of First-Order Progressionaccepted
- On-Device Realistic Test-Time Adaptation via Bias-Resistant Statistical Alignmentaccepted
- One Flow Fits All! A Scale-Aware Generative Framework for Diverse Dataaccepted
- One for Exploration and Another for Exploitation: A Dual-Population MOEA Framework with Provable Benefitsaccepted
- One-Shot Federated Class-Incremental Learning for Medical Imaging via Variational Feature Transferaccepted
- One-Step Self-Aligned Anchor Learning for Multi-View Clusteringaccepted
- One-Turn Knockout: Traceable and Editable Proxy Unlearning Under Asymmetric Access Constraintsaccepted
- One-stop Multi-modality Image Dehazing-Registration-Fusion Framework via Progressive Task Cooperationaccepted
- One4Many-StablePacker: An Efficient Deep Reinforcement Learning Framework for the 3D Bin Packing Problemaccepted
- OneVoice: One Model, Triple Scenarios—Towards Unified Zero-shot Voice Conversionaccepted
- Online Contract Designaccepted
- Online Goal Recognition Using Path Signature and Dynamic Time Warpingaccepted
- Online Self-Calibration Against Hallucination in Vision-Language Modelsaccepted
- Open-Set Test-Time Adaptation in VLMs via Noise-Immune Self-Purificationaccepted
- Open-Vocabulary Object 6D Pose Estimation via Modulated Textual Semanticsaccepted
- Operationalising Normative Rules in Autonomous Robotic Systems Through Context-Oriented Programmingaccepted
- Opinion Maximization in Social Networks: An Inverse Optimization Perspectiveaccepted
- Optimal LTLf Synthesisaccepted
- Optimality-preserving Logic-Based Benders Decomposition of Answer Set Programsaccepted
- Optimally Curating an Eventaccepted
- Optimizing Resource-Constrained Non-Pharmaceutical Interventions for Multi-Cluster Outbreak Control Using Hierarchical Reinforcement Learningaccepted
- Optimizing Sensor Placement with Greedy Algorithms: A Case Study in Wildlife Camera Trapping for Spatial Capture-Recapture Population Estimationaccepted
- Optimizing Spectrogram Resolution and Training Strategies for Real-Time Killer Whale Call Type Classificationaccepted
- OrienDiffusion: Taming Diffusion Towards Fine-grained Portrait Mattingaccepted
- OrthKD: Extracting Generalized Clinical Knowledge from Heterogeneous Teachers for Lightweight Deploymentaccepted
- PA-GMAE: A Position-Assigned Graph Masked Autoencoder for Point Cloud Representation Learningaccepted
- PAAL: Pattern-Anchor Alignment for Continual Knowledge Graph Embedding Under Structural Distribution Shiftaccepted
- PACE: A Personalized Adaptive Curriculum Engine for 9-1-1 Call-taker Trainingaccepted
- PCEvo: Path-Consistent Molecular Representation via Virtual Evolutionaryaccepted
- PDAR-RSITR: A Progressive Decoupling-Aggregation-Refinement Framework for Remote Sensing Image-Text Retrievalaccepted
- PDD-RRG: Posterior Diagnostic Decision for Study-level Radiology Report Generationaccepted
- PDFlow: Popularity-Debiased Flow Matching for Sequential Recommendationaccepted
- PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressionsaccepted
- PECHC: Robust Tactile Grasping Stabilization in Vision-Denied Peripersonal Spaceaccepted
- PENTESTLLMAGENT: A Task Dependency Graph Planning-Based Multi-Agent Framework for Automated Penetration Testingaccepted
- PERELMAN: Pipeline for scientific literature meta-analysisaccepted
- PID-Controlled Constrained RL for Hub-based Joint Pricing, Dispatching, and Routing with Service Guaranteesaccepted
- PILO: Principal Component-based Implicit Regularization with Low-rank Optimization for Robust Transfer Learningaccepted
- PMCE: Probabilistic Multi-Granularity Semantics with Caption-Guided Enhancement for Few-Shot Learningaccepted
- PRIME: A Decoupled Multi-agent Actor-Critic for Multi-view Clusteringaccepted
- PROB-EMOE: A Probabilistic Ensemble Mixture-of-Experts Framework for Metro Network Expansion Forecastingaccepted
- PTF-Net: Pseudo-Temporal Feature Fusion Network for Bi-Temporal Semantic Change Detectionaccepted
- PURE: Purging Unrelated Representations for Content-Agnostic Forgery Detectionaccepted
- Parameter-Efficient Dual-Loss Adaptation with Logit Divergence: A Unified Approach for Adversarial Example Detection and Robust Inferenceaccepted
- Parameterized Approximation Schemes for Fair Clustering in Doubling Metricsaccepted
- Parameterized and Streaming Algorithms for Euclidean Fair k-Center Clusteringaccepted
- Patient-Visit-Spanned Hypergraph Learning for EHR-based Diagnosis Predictionaccepted
- PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamicsaccepted
- Performance-Driven Demonstration Selection for In-Context Learningaccepted
- Persistent Safety Set Guided Offline Safe Reinforcement Learningaccepted
- PersuHMM: Iterative Learning the Hierarchical Meta-Strategy Memory for Persuasive Dialogueaccepted
- Perturbation Matters in Time Series Forecasting: A Wave-attention-aware Transformer Methodaccepted
- Perturbation-Resilient Autonomous Navigation with Distributionally Robust Reinforcement Learningaccepted
- Phi-Actor-Critic: Steering General-Sum Games to Pareto-Efficient Correlated Equilibriaaccepted
- PhyRE-Net: A Physics-Anchored Network with Active Spatial Gating for Industrial Infrared Thermal Forecastingaccepted
- PhyTTA: Physics-Informed Test-Time Adaptation of Foundation Models for Regional Drought Predictionaccepted
- PhysTrans: A Physics-Aware Transferable Framework for Global Cold-Start Photovoltaic Forecastingaccepted
- Physically Guided Visual Mass Estimation from a Single RGB Imageaccepted
- Physics-Guided Geometric Diffusion for Macro Placement Generationaccepted
- Physics-in-the-Loop: A Hybrid Agentic Architecture for Validated CAD Engineering Designaccepted
- PhysioGMC: Generalizable Multi-modal Coordination for Physiological Signalsaccepted
- Pivot-Centric Trajectory Prediction: Bridging Long Horizons via Dynamical Guidanceaccepted
- Platform-Aware Mission Planning with Task-Level Contractsaccepted
- PoemDirector: A Multi-Agent Context-Adaptive Instructional Mode Selection Framework for Chinese Classical Poetry Video Generationaccepted
- PointGP: Geometry-Primed Attention for Point Cloud Analysisaccepted
- Policy-Embedded Graph Expansion: Networked HIV Testing with Diffusion-Driven Network Samplesaccepted
- Post Hoc Extraction of Pareto Fronts for Continuous Controlaccepted
- Predicting Context-Aware Transcriptional Responses to Unseen Genetic Perturbation Subject to Interactome Distance Constraintsaccepted
- Preference-Guided Multi-Policy Optimization for Flexible Job Shop Schedulingaccepted
- Price of Fairness in Short-Term and Long-Term Algorithmic Selectionsaccepted
- Prior Knowledge-enhanced Spatio-temporal Epidemic Forecastingaccepted
- Privacy-Preserving Reinforcement Learning with One-Sided Feedbackaccepted
- ProCURE: Addressing the Programming Concept Understanding Gap for Code Generation in LLMs via Concept-Aware Consistency Learningaccepted
- Proactive Federated Unlearning: Sensitivity-Guided Sparse Adaptation on Key Layersaccepted
- Probabilistic Verification of Recurrent Neural Networks for Single and Multi-Agent Reinforcement Learningaccepted
- Probing Cultural Awareness in LLMs: A Case Study of Cross-Culture Aesthetic Stylisticsaccepted
- Profiling the Voice: Speaker-Specific Phoneme Fingerprinting for Speech Deepfake Detectionaccepted
- Progressive Adversarial Multi-View Alignment for Unsupervised Embedded Feature Selection with Linear Complexityaccepted
- Progressive Reasoning with Primitive Correction for Compositional Zero-Shot Learningaccepted
- Progressive Subexpression Reuse in Symbolic Regression: Insights from RL-based Search and a Genetic Programming Realizationaccepted
- Propagating Unsafe Actions in LLM Controlled Multi-Robot Collaboration via Single Robot Compromiseaccepted
- Property Enhanced Instruction Tuning for Multi-Task Molecule Generation with Large Language Modelsaccepted
- Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approachaccepted
- Proportional Selection in Networksaccepted
- Provably Sub-Linear Two-Timescale NeuroEvolution with Online Plasticityaccepted
- Psychological Benefits and Costs of Diversifying Algorithmic Recourseaccepted
- QA-MoE: Quality-Aware and Stable Multimodal Mixture-of-Experts for Robust Clinical Prediction in Noisy and Missing-Modal Settingsaccepted
- QFlash: Bridging Quantization and Memory Efficiency in Vision Transformer Attentionaccepted
- QiMeng-EvoPartition: Rethinking the Impact of Partitioning for Automated Pipeline Designaccepted
- QiMeng-VPID: Verification-Grounded Port-Level Iterative Decomposition for Complex Verilog Generationaccepted
- Quantifying Error Disparities in Population Health Modelsaccepted
- Quantifying Semantic Inertia in Large Language Models Under Rapid Topic Switchingaccepted
- QuesRecAgent: A Dual-Loop Multi-Agent Question Recommender for Enhancing Knowledge Masteryaccepted
- RIVS: Mitigating Hallucination in Large Vision-Language Models via Representation Intervention on Visual Grounding Shiftaccepted
- RM-Distiller: Exploiting Generative LLM for Reward Model Distillationaccepted
- ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimizationaccepted
- RODIS: Robust Diffusion Solver to Dataset Quality in Combinatorial Optimizationaccepted
- RUVA: Personalized Transparent On-Device Graph Reasoningaccepted
- Raise One and Infer Three: Toward Reasoning- and Memory-Augmented Diffusion Policy Generalizationaccepted
- RareDASH: A Dynamic Multi-Agent System for Holistic Rare Disease Careaccepted
- Re-Weighting Cross-Modal Pairs via Rank Consistency for Noise-Robust Retrievalaccepted
- ReDi-FM: Frozen Foundation Model for Continual Test-Time Adaptation in Medical Image Segmentationaccepted
- ReSyn: A Generalized Recursive Regular Expression Synthesis Frameworkaccepted
- Real-Time Multi-Robot Motion Planning with Safe-Interval Search and Learning-Guided Repairaccepted
- Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image Clusteringaccepted
- Reexamining the Exploration–Exploitation Dilemma from an Entropy-Driven Perspectiveaccepted
- RegionCache: Semantic-Aware Region Reuse for Efficient Multi-Turn Image Generationaccepted
- Relation-Aware Graph Learning with Mixture-of-Experts Prediction for Cognitive Diagnosisaccepted
- RepSAM: Bridging Foundation Models to Robotic Vision via Representation-Guided Adaptationaccepted
- Representation-Aware Modularity: Efficient Cross-Task Generalization for LLMsaccepted
- ResearchEnvBench: Benchmarking Agents on Environment Synthesis for Research Code Executionaccepted
- Resisting Label Drift: Real-Time Multi-View Clustering with Semantic Consistencyaccepted
- Responsibility in Multi-Agent Sequential Decision-Making: Comparing Human Judgments to Formal Models of Causal Attributionaccepted
- Rethinking Convolutional Networks for Attribute-Aware Sequential Recommendationaccepted
- Rethinking Multi-Modal Point Cloud Completion: Query-Aware Gating Attention and Gramian Volume Alignmentaccepted
- Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitrationaccepted
- Rethinking Thinking Steps in Overthinking: Towards More Effective Reasoningaccepted
- Retrieval-Guided Completion Hashing with Token–Patch Alignment for Incomplete Cross-Modal Retrievalaccepted
- Revealing Modular Gradient Noise Imbalance in LLMs: Calibrating Adam via Signal-to-Noise Ratioaccepted
- Revisiting Hypernetwork in Model Heterogeneous Personalized Federated Learningaccepted
- Riemannian Graph Convolutional Network for Skeleton-Based Two-Person Interaction Recognitionaccepted
- RoboVineSim: A Simulation Tool for Human-Robot Collaboration in Vineyard Harvestingaccepted
- Robust Contrastive Graph Clustering with Adaptive Local-Global Integrationaccepted
- Robust Federated Hyperspectral Image Clusteringaccepted
- Robust Scheduling Against Machine Failuresaccepted
- Robust, Generalizable Proactive Face-swapping Defense via Semantic Gradient Divergenceaccepted
- Rule-Bottleneck RL: Learning to Decide and Explain for Sequential Resource Allocation via LLM Agents in Public Healthaccepted
- SAFformer: Improving Spiking Transformer via Active Predictive Filteringaccepted
- SAM-GPT: Hilbert Curve Enhanced Mamba for Brain Lesion Segmentation and VLM-based Analysisaccepted
- SARA: Semantic-Anchored Referential Alignment for Ego–Exo Instance Correspondenceaccepted
- SBSDM: A Style-aware Bidirectional Stream Diffusion Model for CT-to-PET Synthesisaccepted
- SCD-MVC: Stable Conditional Diffusion for Multi-view Clusteringaccepted
- SCOPE: Safety-Constrained Online Preview Enforcement for Efficient Encirclement in Multi-UAV Pursuit-Evasionaccepted
- SDFLoRA: Selective Decoupled Federated LoRA for Privacy-preserving Fine-tuning with Heterogeneous Clientsaccepted
- SMLDR: Spectral Memory Learner with Dual-Retrieval for Time Series Forecastingaccepted
- SMaRT: Online Reusable Resource Assignment and an Application to Mediation in the Kenyan Judiciaryaccepted
- SPACE: Structure-Preserving Cross-Modal Image Enhancement for Extreme Low-Light Conditionsaccepted
- SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learningaccepted
- SRJudge: Empowering Large Language Models with Selective Reasoning for Fine-Grained Knowledge Concept Taggingaccepted
- ST-BiT: Spatio-Temporal Bipartite Transformer Network for Interaction-Preserving EEG-Based Dementia Subtypingaccepted
- STAMP: Multi-Pattern Attention-Aware Multiple Instance Learning for STAS Diagnosis in Multi-Center Histopathology Imagesaccepted
- STAR-Net: Physics Inspired Spectral Topology Aware Reconstruction Network for Single-View Fluorescence Molecular Tomographyaccepted
- STAR: Spatio-Temporal Attention Rebalancing for Eco-Friendly Autonomous Mobility-on-Demand Systemsaccepted
- STCBN-EC: A Spatio-Temporal Constrained Bayesian Causal Network for Multimodal Brain Effective Connectivity Learningaccepted
- STELLAR: Spatio-Temporal Environmental Learning with Latent Alignment and Refinement for Long-Tailed Species Distribution Modelingaccepted
- Safe Multi-Objective Linear Bandits with Hierarchical Preferencesaccepted
- Safe and Efficient Control: A Subgraph-Augmented Hierarchical Reinforcement Learning Framework for Dynamically Reconfigurable Battery Systemsaccepted
- Safety-Aware Shared Autonomy via World-Model Constrained Planningaccepted
- Salient-Residual Decoupled Multi-View Learning for Clusteringaccepted
- Scalable Algorithms for Approximate DNF Model Countingaccepted
- Scalable Mapping of Tree Traits to Study the Dynamics of Protected Forest Areas in Indiaaccepted
- Scale-Invariant Conditional VAE for Coarse-Grained Economic Time-Series Forecastingaccepted
- Scaling Decision-Focused Learning to Large Problems with Lagrangian Decompositionaccepted
- ScholarSum: Student-Teacher Abstractive Summarization via Knowledge Graph Reasoning and Reflective Refinementaccepted
- SeGO: Sensitivity-Aware Golden Optimization for Large-Scale VLM Quantizationaccepted
- SeMi-LoRA: Enhancing Low-Rank Adaptation via Separation and Mixingaccepted
- Secure Coding Unleashed: Boosting Productivity With On-Premise LLM-Powered IDE Pluginsaccepted
- SeesawNet: Towards Non-stationary Time Series Forecasting with Balanced Modeling of Common and Specific Dependenciesaccepted
- Segment Any 3D-Part in a Scene from a Sentenceaccepted
- Self-Improving Autonomous Vehicles via Real-World Reinforcement Learningaccepted
- Self-Refine Learning in LLM Multi-Agent Systems for Legal Norm Cognition and Complianceaccepted
- Semantic Geometric Calibration in Randomized Neural Feature Spaceaccepted
- Semantic Similarity Is Not Legal Correctness: Evaluating RAG Systems in Brazilian Civil Procedureaccepted
- Semantically Labelled Automata for Multi-Task Reinforcement Learning with LTL Instructionsaccepted
- Semantics-Guided Representation Learning for Long-Tailed ECG Classificationaccepted
- Semi-supervised Clustering via Adversarially Enhanced Intent Propagationaccepted
- Semifactual Explanations for GNN-based Classification: Formal Foundations, Complexity and Computationaccepted
- Sentiment-aware Rating-based Recommendation via Semantic-enhanced Item Alignmentaccepted
- Shapley Regression for Rare Disease Diagnosis Support: A Case Study on APDSaccepted
- Sharp-Wave Ripples Learning: A Bio-Inspired Incremental Learning Methodaccepted
- Shot-Conditioned Vision-Language Adaptation for Effective Harmful Content Detection from Online Short Videosaccepted
- Similarity-Guided Structural Matching Learning for Graph Dataset Condensationaccepted
- Simulated Ignorance Fails: A Systematic Study of LLM Behaviors on Forecasting Problems Before Model Knowledge Cutoffaccepted
- Single-Round Clustered Federated Learning via Data Collaboration Analysis for Non-IID Dataaccepted
- Singly-Connected Multiple Minimal Networks for Efficient Temporal Reasoning About Multiple Clinical Guideline Instantiationsaccepted
- SirenFNO: Efficient and Full Frequency Learning of Fourier Neural Operatorsaccepted
- Snap2Review: Vision-Grounded Retrieval and Pairwise Preference Alignment for Personalized Reviews Generationaccepted
- Social Welfare Under Heterogeneous Time Preferencesaccepted
- SoilNet App: AI-Assisted Expert-level Annotations of Soil Horizonsaccepted
- Sparse ProtoPatient: Interactive Multi-Prototype Explanations for Clinical Diagnosis Predictionaccepted
- SparseDR: Differentiable Rendering of Sparse Signed Distance Fieldsaccepted
- Sparsification Under Siege: Dual-Level Defense Against Poisoning in Communication-Efficient Federated Learningaccepted
- Sparsity in Federated Learning: A Surveyaccepted
- Spatial Pattern Matching: A Surveyaccepted
- SpatialSV: Internalizing Interpretable 3D Spatial Awareness in MLLMs via Task-Oriented Visual Supervisionaccepted
- SpatialV2A: Visual-Guided High-fidelity Spatial Audio Generationaccepted
- Spatially Generalizable Mobile Manipulation via Adaptive Experience Selection and Dynamic Imaginationaccepted
- Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecastingaccepted
- SpecBridge: Spectral Structure Alignment and Transitive Bridging for 3D–2D–Text Pre-Trainingaccepted
- SpeciFuse: Learning Degradation-Type Specificity for Robust Infrared and Visible Image Fusion Under Composite Degradationsaccepted
- Speeding Up the NSGA-II via Dynamic Population Sizesaccepted
- Spherical Physics-Informed Neural Operator with Multi-Scale Coupling for Meteorological Downscalingaccepted
- SplitScaling: Adaptive Scaling for Disaggregated LLM Serving Against Traffic Bursts via DRLaccepted
- Splitting Meanings: A Unified View on Paraconsistency and Inconsistency Measurementaccepted
- Spot-Adaptive Structural Rectification for Spatially Resolved Transcriptomics Data Clusteringaccepted
- Sprint or Delve: A Distribution-Aware Approach to Efficient Reasoningaccepted
- Stability Under Valuation Updates in Coalition Formationaccepted
- Stability and Efficiency in Hedonic Project Gamesaccepted
- Stability and Generalization for Decentralized Markov SGDaccepted
- Stabilizing Welfare-Maximizing Decisions via Endogenous Transfersaccepted
- Stay in Character, Stay Safe: Dual-Cycle Adversarial Self-Evolution for Role-Playing Agentsaccepted
- SteelAgent: An LLM-Orchestrated System for Physics-Informed Steel Property Prediction and Generalization Auditingaccepted
- StreamMTS: Towards Streaming Multivariate Time Series Forecastingaccepted
- StreamTimer: Efficient Inference for Long-Context Time Series Transformersaccepted
- Streamlining Long-Chain Reasoning via Differentiable Hierarchical Fusionaccepted
- StressEval: Failure-Driven Dynamic Benchmarking for Knowledge-Intensive Reasoning in Large Language Modelsaccepted
- Strikingness-Aware Evaluation for Temporal Knowledge Graph Reasoningaccepted
- Structure-Aware Contrastive Learning for Biomedical Embeddings: Bridging the Gap Between HPO and Clinical Literatureaccepted
- StructureBench: A Unified Benchmark Suite for Multi-Scenario Structured Generation Tasks with On-Device Modelsaccepted
- Structured Discrete Graph Generation Model for Fragmented Image Recoveryaccepted
- Structured Modality-Aware Token Interaction for Multimodal Medical Imagingaccepted
- Studying the Effects of Robot Distraction on School Shooter Behavior Using Virtual Realityaccepted
- Subject-Agnostic Cross-View Referring Expression Comprehension via Reward-Driven Consistency Learningaccepted
- Subword Tokenization for Low- and Medium-Resource Languages: A Systematic Evaluationaccepted
- Sufficient Decision Proxies for Decision-Focused Learningaccepted
- Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stationsaccepted
- Super Condorcet Winners and Limit Coalitional Manipulability of IRVaccepted
- Survival Fully-Collapsed Copula Mixed Membership Blockmodelaccepted
- Sustainable Intelligence for the Wild: Democratizing Ecological Monitoring via Knowledge-Adaptive Edge Expert Agentsaccepted
- SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linkingaccepted
- Syntactic Structure-Guided Visual Grounding with Subject-Centric Feature Enhancement and Verificationaccepted
- Synthesis and Verification of Transformer Programsaccepted
- System 1&2 Synergy via Dynamic Model Interpolationaccepted
- S²-VLA: State-Space Guided Vision-Language-Action Models for Long-Horizon Manipulationaccepted
- S³-TIR: Coupled Spatial-Spectral Splatting for Thermal Infrared Novel View Synthesisaccepted
- TCDA: Thread-Constrained Discourse-Aware Modeling for Conversational Sentiment Quadruple Analysisaccepted
- THGAgents: Traceable Biomedical Hypothesis Generation via Dynamic Causal Reasoningaccepted
- TPPMG: Temporal Planning-driven Progressive Motion Generationaccepted
- TS-PEFT: Unveiling Token-Level Redundancy in Parameter-Efficient Fine-Tuningaccepted
- TTS-Design: Test-Time Compute Scaling for Structure-Guided Protein Designaccepted
- Tab-semiSL: Tabular Data-Driven Semi-Supervised Learning to Identify Factors Associated with Immune-Related Adverse Eventsaccepted
- TabKD: Tabular Knowledge Distillation Through Interaction Diversity of Learned Feature Binsaccepted
- Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Surveyaccepted
- Taming Treewidth DP with Modulators: A General Booster for Graph Heuristicsaccepted
- TangentFuse: Low-Latency MEG Speech Activity Detection via Riemannian Covariance - CNN Fusionaccepted
- TaylorMoDe-GS: Taylor-Driven Gaussian Splatting Motion Model for Multi-View Dynamic Scene Deblurringaccepted
- TeNet: Text-to-Network for Compact Policy Synthesisaccepted
- Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detectionaccepted
- Temporal Smoothness Doubly Robust Learning for Debiased Knowledge Tracingaccepted
- Temporal-Synergistic Policy Optimization for Unsupervised Low-Light Image Enhancementaccepted
- Test-Time Adaptation for Graph Learning: A Systematic Surveyaccepted
- Test-Time User Alignment via Bayesian Population Guidance in Subjective Tasksaccepted
- Text-Graph Synergy: A Bidirectional Verification and Completion Framework for RAGaccepted
- TextGaze: Prompting Gaze Target Estimation with Textual Scene Cuesaccepted
- The Alignment Bottleneck in Decomposition-Based Claim Verificationaccepted
- The Communication Complexity of Instant-Runoff Votingaccepted
- The Complexity of Tournament Fixing: Subset FAS Number and Acyclic Neighborhoodsaccepted
- The Complexity of Verifying Feedforward Neural Networks in Quantised Settingsaccepted
- The Computational Complexity of Almost Stable Clustering with Penaltiesaccepted
- The Price of Proportional Representation in Temporal Votingaccepted
- The Sword, Shield, and Achilles’ Heel: Characterizing the Linguistic Inductive Bias of Large Language Models for Spatial Reasoning in Navigation Planningaccepted
- Theoretical Analysis of Multi-Objective Evolutionary Algorithms on Integer Spaces with Local Optimaaccepted
- ThinFormer: Channel Sparse Transformer for Efficient HRW Object Detectionaccepted
- Three Minds, One Student: Online Multi-Teacher Knowledge Distillation for Multimodal Recommendersaccepted
- Tight Asymptotic Bounds for Fair Division with Externalitiesaccepted
- Tool Call Dependency Graphs Enable Deep LLM Reasoning Evaluation and Better Explanationsaccepted
- Toward LoRA Copyright Protection with an Authorized Dual-Watermarking Frameworkaccepted
- Toward Preference-aligned Large Language Models via Residual-based Model Steeringaccepted
- Toward Synthesizability-Aware Multi-Step Retrosynthetic Planningaccepted
- Toward a More Discriminative Learnware Paradigm via Explicitly Distinctive Specificationaccepted
- Towards Automated Kernel Generation in the Era of LLMs: A Surveyaccepted
- Towards Cardinality-Aware Local Search for SAT with Cardinality Constraintsaccepted
- Towards Comprehensive Post Safety Alignment of Large Language Models via Safety Patchingaccepted
- Towards Defining, Measuring and Leveraging Creativity in AI Applicationsaccepted
- Towards Efficient and Effective Unimodal Trajectory Representation Learning: A Simple Yet Powerful Approachaccepted
- Towards Fair Graph Learning Without Demographic Supervisionaccepted
- Towards Fine-Grained Code-Switch Speech Translation with Semantic Space Alignmentaccepted
- Towards Generalized Action Recognition on Low-Resolutions with Domain-Invariant Representationaccepted
- Towards Scalable Metaverse Systems with Social-Aware VR Displaysaccepted
- Towards Vision-Spatiotemporal Fusion in Traffic Forecasting: A Survey on Cross-Modal Alignmentaccepted
- Towards an Early Warning System for Ocean Heat Extremes Through AI-Ocean Dynamics Synergyaccepted
- TraceBrain: An Open-Source Framework for Agentic Trace Managementaccepted
- Tracking Topological Shifts: How Can Dynamic Graph Invariant Learning Enable Reliable Out-of-Time Spatio-Temporal Prediction?accepted
- Training-Free Inference for High-Resolution Sinogram Completionaccepted
- TrajAR: Long-Term Trajectory Prediction at Urban Intersections via Multi-scale Interaction Perceptionaccepted
- Trajectory-Consistent Denoising Diffusion Codebook Models for Zero-Shot High-Fidelity Image Compression at Ultra-Low Bitratesaccepted
- TransAlpha: Lightweight Design Empowers Stock Return Forecastingaccepted
- Transferable Attacks on Open-Vocabulary Video Instance Segmentation via Dual-Objective Triggersaccepted
- Transformer-based Convolutional Codes Decoderaccepted
- Transforming and Encoding FTS for SAT Solving: What Helps, What Hurtsaccepted
- Translating Latent Representations for Money Laundering Detectionaccepted
- TriCLIP: Tri-stage Calibration of Prompts, Evidence and Fusion for Robust Biomedical Vision–Language Modelsaccepted
- TriHAI: A Combination Enhanced Tri-Mode Deferral for Human-AI Teamaccepted
- Trust, but Verify: Uncertainty-Driven Evidential Multimodal Representation Learningaccepted
- Tuple Inconsistency Measures: Toward Explaining Query Answersaccepted
- TvaraNet: A Lightweight Mamba Neural Network for Real-Time Medical Image Segmentationaccepted
- Two-Fold Patch Perturbation for Efficient Self-Supervised Learning in 3D Medical Imagingaccepted
- Two-Stage Fine-Grained Trajectory Generation Constrained by Road Networksaccepted
- ULE-MWC: An UnLocking-Enhanced Lookahead Framework for Exact Maximum Weight Clique Searchaccepted
- UNOP: Physics-Constrained Unsupervised Neural Operator for Long-Horizon PDE Learning on Generalized Geometriesaccepted
- URFPert: Unrolled Regulatory Flow Networks for Out-of-Distribution Single-Cell Perturbation Predictionaccepted
- Uncertainty-Aware Spatial-Frequency Registration and Fusion for Infrared and Visible Imagesaccepted
- Uncertainty-Guided Adaptive Conservative Offline Reinforcement Learning for Safer Mechanical Ventilationaccepted
- Uncertainty-Guided Adaptive Local Adversarial Perturbation for Reliable Molecular Property Predictionaccepted
- Uncovering Discriminatory Behavior in LLM-Based CV Screening Systems with Composite Statistical Metamorphic Relationsaccepted
- Understanding and Exploiting Phase Sensitivity for Attacking Large Vision–Language Modelsaccepted
- Uni-RS: A Spatially Faithful Unified Understanding and Generation Model for Remote Sensingaccepted
- UniPocket: Physics-Aware Geometric Graph Learning with Manifold Completeness for Ligand-Specific Binding Site Predictionaccepted
- UniSAGE: Unifying Static and Dynamic Attributes with Hyper-Structureaccepted
- UniST-Pred: A Robust Unified Framework for Spatio-Temporal Traffic Forecasting in Transportation Networks Under Disruptionsaccepted
- Unified Sensor Simulation for Autonomous Drivingaccepted
- Unified Sequence Modeling for Remote Sensing: A Parameter-Efficient Foundation Model via Prompt-Driven Granularity Alignmentaccepted
- Uniform Interpolation Closure for Branching Time Temporal Logicsaccepted
- Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levelsaccepted
- Unintended Consequences: Updating Causal Modelsaccepted
- Unlocking More Granular Control of Memory-Efficient LLM Finetuningaccepted
- Unrestricted Targeted Deep Hashing Attack via Contrastive Latent Diffusionaccepted
- Unsupervised Anomaly Detection in Dynamic Graphs via Compatibility Modeling and Boundary Learningaccepted
- Unsupervised Graph-Level Anomaly Detection via Multi-granular Graph Structure Learningaccepted
- UrbanMix: LLM-Guided Simulation of Mixed Autonomy Traffic with Heterogeneous Behavioral Profilesaccepted
- VERA: Identifying and Leveraging Visual Evidence Retrieval Heads in Long-Context Understandingaccepted
- VFM-Dynamo: Accurate Non-rigid Motion Identification via Vision Foundation Model for Self-supervised Monocular Depth Estimationaccepted
- VGA-BenchV2: An Expanded Unified Benchmark and Multi-Model Framework for Evaluating Video Aesthetics and Generation Qualityaccepted
- VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptationaccepted
- VGDM: Visual Localization-Guided 3D Dental Segmentation via Extrinsic–Intrinsic Bridgingaccepted
- VLAs Are Confined yet Capable of Generalizing to Novel Tasksaccepted
- VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learningaccepted
- Variable-Oriented Adaptive Singleton Consistencyaccepted
- VaryBalance: Detecting LLM-Generated Text Through Variationaccepted
- Vector-Quantized Discrete Latent Factors Meet Financial Priors: Dynamic Cross-Sectional Stock Ranking Prediction for Portfolio Constructionaccepted
- ViSA-Gait: Leveraging Vision Foundation Models for Semantic Anchored Gait Recognitionaccepted
- Visual Implicit Geometry Transformer for Autonomous Drivingaccepted
- Visualizing Deep Agents in Long-Horizon Tasks: Towards Explainable and Trustworthy Agentic AIaccepted
- Visualizing and Interacting with Model Representation Space for Human-Centric Active Learningaccepted
- WBMCF: Robust Spatiotemporal Forecasting of Terrorism Fatalities with Multi-Scale Time–Frequency Fusionaccepted
- Walking on Ice: Adaptive Gait Control of Humanoid Robots Based on Visual Prediction and Proprioceptive Estimation for Variable Friction Environmentsaccepted
- Wavelength.AI: Extending the Collaborative Game Wavelength as a Testbed for Studying Shared Understanding in Human–Agent Collaborationaccepted
- Weight-Aware Branch-and-Bound for Weighted Maximum Satisfiabilityaccepted
- What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool Learning Frameworksaccepted
- When Can We Trust Fairness Audits? Identifying Reliability Boundaries of Third-party Audit Conclusionsaccepted
- When Evidence Falls Short: Router-Guided Fake News Detection with Pattern Augmentationaccepted
- When Incompleteness Does Not Matter: The Case of Incomplete Abstract Argumentation Framework (Under the Possible Perspective)accepted
- When Pulling Fails: Understanding and Alleviating SDF Collapse in Sparse Freehand Ultrasound Reconstructionaccepted
- When Vision Meets Graphs: A Survey on Graph Reasoning and Learningaccepted
- When Vision-Language Models Meet Fetal Cardiac Ultrasound: Dual-Level Contrastive Learning for Out-of-Distribution Detectionaccepted
- When and How to Adapt: Subject Shifts Detection and Prototype-Guided Correction for Online EEG Decodingaccepted
- White-Hat Testing for the Ballot Box: A Framework for Election AI Auditingaccepted
- Will My Favorite Chases Terminate If Evaluating Conjunctive Queries Does? One Does Not Simply Decide Thisaccepted
- World4V2X: A Consistency-driven World Model for Robust V2X Cooperative Perceptionaccepted
- X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Modelsaccepted
- [COMP25] The Automated Negotiating Agents Competition (ANAC) 2026 Challenges and Resultsaccepted
- eNNcode: Optimization-Based Analysis of Neural Networksaccepted
- gDMC: A Generic Distributed Model Counting Framework via Work-Stealingaccepted
- iFire AI: AI-powered Wildfire Simulation and 3D Immersive Visualisationaccepted
- sc2Flow: Mitigating Mean Prediction Bias in Single-Cell Perturbation with Dual-Stage Flow Matchingaccepted
- scGTN: Deep Siamese Graph Transformer Network for Single-cell RNA Sequencing Clusteringaccepted
- scLLM-DSC: LLM-Knowledge Enhanced Cross-Modal Deep Structural Clustering for Single-Cell RNA Sequencingaccepted
- vSpeedUI: Turning Past GUI Experience into Fast Executable Plansaccepted
- “The Whole Is Greater than the Sum of Its Parts”: A Compatibility-Aware Multi-Teacher CoT Distillation Frameworkaccepted
IJCAI accepted papers in other years
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