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Hongxin Li

7 accepted papers

2025

Activation Steering Decoding: Mitigating Hallucination in Large Vision-Language Models through Bidirectional Hidden State Intervention

ACL 2025long

Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities in multimodal understanding, but they frequently suffer from hallucination - generating content inconsistent with visual inputs. In this work, we explore a novel perspective on hallucination mitigation by examining the in…

Cited by 0SourcePDFScholar
2025

AutoGUI: Scaling GUI Grounding with Automatic Functionality Annotations from LLMs

ACL 2025long

User interface understanding with vision-language models (VLMs) has received much attention due to its potential for enhancing software automation.However, existing datasets used to build UI-VLMs either only contain large-scale context-free element annotations or contextualized functional descriptio…

2025

GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning

NeurIPS 2025poster

With the rapid development of Large Vision Language Models, the focus of Graphical User Interface (GUI) agent tasks shifts from single-screen tasks to complex screen navigation challenges. However, real-world GUI environments, such as PC software and mobile Apps, are often complex and proprietary,…

Cited by 0SourceScholar
2025

UIPro: Unleashing Superior Interaction Capability For GUI Agents

ICCV 2025poster

Building autonomous agents that perceive and operate graphical user interfaces (GUIs) like humans has long been a vision in the field of artificial intelligence. Central to these agents is the capability for GUI interaction, which involves GUI understanding and planning capabilities. Existing method…

2024

Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

CVPR 2024poster

In autonomous driving predicting future events in advance and evaluating the foreseeable risks empowers autonomous vehicles to plan their actions enhancing safety and efficiency on the road. To this end we propose Drive-WM the first driving world model compatible with existing end-to-end planning mo…

2024

MemoNav: Working Memory Model for Visual Navigation

CVPR 2024highlight

Image-goal navigation is a challenging task that requires an agent to navigate to a goal indicated by an image in unfamiliar environments. Existing methods utilizing diverse scene memories suffer from inefficient exploration since they use all historical observations for decision-making without cons…

2023

SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models

NeurIPS 2023poster

Computer end users have spent billions of hours completing daily tasks like tabular data processing and project timeline scheduling. Most of these tasks are repetitive and error-prone, yet most end users lack the skill to automate these burdensome works. With the advent of large language models (LLM…