2 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
UniCAR-RL: Seeing Better before Thinking Deeper in Visual Mathematics
Yuzhe Li, Hao Yan, Hao Wang +6
Multimodal Large Language Models (MLLMs) often struggle with complex mathematical visual reasoning primarily due to a lack of fine-grained perception, causing initial visual halluc…
Reinforcement Learning with Robust Rubric Rewards
Ya-Qi Yu, Hao Wang, Fangyu Hong +15
While Reinforcement Learning with Verifiable Rewards (RLVR) is effective for deterministically checkable tasks, many vision-language tasks are partially verifiable, demanding multi…
Visual Preference Optimization with Rubric Rewards
Ya-Qi Yu, Fangyu Hong, Xiangyang Qu +15
The effectiveness of Direct Preference Optimization (DPO) depends on preference data that reflect the quality differences that matter in multimodal tasks. Existing pipelines often…
PeopleSearchBench: Evaluating AI-Powered People Search Platforms with Criteria-Grounded Verification
Tianyu Shi, Wei Wang, Zequn Xie +10
AI-powered people search platforms are increasingly deployed for recruiting, sales prospecting, and professional networking, yet no standardized benchmark exists for their rigorous…