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Kun Xiang

4 accepted papers

2026

Thinking with Geometry: Active Geometry Integration for Spatial Reasoning

ICML 2026poster

Recent progress in spatial reasoning with Multimodal Large Language Models (MLLMs) increasingly leverages geometric priors from 3D encoders. However, most existing integration strategies remain passive: geometry is exposed as a global stream and fused in an indiscriminate manner, which often induces…

Cited by 0SourceScholar
2025

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions

CVPR 2025poster

GPT-4o, an omni-modal model that enables vocal conversations with diverse emotions and tones, marks a milestone for omni-modal foundation models. However, empowering Large Language Models to perceive and generate images, texts, and speeches end-to-end with publicly available data remains challenging…

Cited by 23SourcePDFScholar
2025

SeePhys: Does Seeing Help Thinking? – Benchmarking Vision-Based Physics Reasoning

NeurIPS 2025poster

We present SeePhys, a large-scale multimodal benchmark for LLM reasoning grounded in physics questions ranging from middle school to PhD qualifying exams. The benchmark covers 7 fundamental domains spanning the physics discipline, incorporating 21 categories of highly heterogeneous diagrams. In cont…

Cited by 0SourcecodeScholar
2023

Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection

AAAI 2023technical

As the COVID-19 pandemic puts pressure on healthcare systems worldwide, the computed tomography image based AI diagnostic system has become a sustainable solution for early diagnosis. However, the model-wise vulnerability under adversarial perturbation hinders its deployment in practical situation.…