3 papers
cs.CL2025
Enhancing the Geometric Problem-Solving Ability of Multimodal LLMs via Symbolic-Neural Integration
Yicheng Pan, Zhenrong Zhang, Pengfei Hu +6
Recent advances in Multimodal Large Language Models (MLLMs) have achieved remarkable progress in general domains and demonstrated promise in multimodal mathematical reasoning. Howe…
cs.MM2025
MMC: Iterative Refinement of VLM Reasoning via MCTS-based Multimodal Critique
Shuhang Liu, Zhenrong Zhang, Pengfei Hu +7
Visual language models (VLMs) have demonstrated strong performance across diverse multimodal reasoning tasks but still face challenges such as hallucinations, resulting in incorrec…
cs.MM2025
PRM-BAS: Enhancing Multimodal Reasoning through PRM-guided Beam Annealing Search
Pengfei Hu, Zhenrong Zhang, Qikai Chang +8
Recent work increasingly focuses on improving the reasoning capabilities of Multimodal Large Language Models (MLLMs). Among existing methods, Process Reward Models (PRMs) stand out…