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cs.CV2025
Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling
Jiahao Wang, Weiye Xu, Aijun Yang +5
Outcome-reward reinforcement learning (RL) is a common and increasingly significant way to refine the step-by-step reasoning of multimodal large language models (MLLMs). In the mul…
cs.CV2025
VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models
Weiye Xu, Jiahao Wang, Weiyun Wang +10
Visual reasoning is a core component of human intelligence and a critical capability for advanced multimodal models. Yet current reasoning evaluations of multimodal large language…
cs.CV2024
Power-LLaVA: Large Language and Vision Assistant for Power Transmission Line Inspection
Jiahao Wang, Mingxuan Li, Haichen Luo +4
The inspection of power transmission line has achieved notable achievements in the past few years, primarily due to the integration of deep learning technology. However, current in…