Chunxiao Gao — accepted AI-conference papers

2026

Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization

Yunhan Bu, quan zhang, Zhang Huaping, Guotong Geng, Chunxiao Gao, Askar Hamdulla +6

ICML 2026poster

Multi-Hop Fact Verification (MHFV) necessitates complex reasoning across disparate evidence, posing significant challenges for Large Language Models (LLMs) which often suffer from hallucinations and fractured logical chains. Existing methods, while improving transparency via Chain-of-Thought (CoT), …

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2026

Improving Multimodal Reasoning via Worst Dimension Optimization

Haocheng Lv, Huaping Zhang, Qiuchi Li, Lei Li, Chunxiao Gao

IJCAI 2026

Multimodal reasoning requires a path that retains integrity over a wide range of constraints, from visual grounding to logic consistency. However, the current Process Reward Models (PRMs) focus on heuristically defined rewards that equally weigh these factors, which may lead to the concealment of in

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