Recent focus in agentic reinforcement learning (RL) seeks to improve credit assignment in long-horizon tasks. One promising direction combines reinforcement learning with verifiable rewards (RLVR) and on-policy self-distillation (OPSD), integrating trajectory-level advantages with dense token-level supervision. This li...
Fan Zhang, Hao Wu, Jin-Yang Wu et al.· 0 citations
MOTIVATION
Single-cell foundation models (scFMs) are transforming computational biology by enabling generalizable, task-agnostic representations for versatile single-cell analysis. Despite their progress in facilitating rapid deployment for downstream tasks, off-the-shelf scFMs still have some overlooked concerns: (I)...
Tian-Yu Liu, Fan Zhang, Jia-Yuan Chen et al.· Bioinformatics· 0 citations
This work introduces VideoGAIA, an agentic video understanding benchmark for general artificial intelligence (AI) assistants, and formulates video understanding as a multi-turn, tool-augmented interaction process, where models must iteratively perceive videos, invoke external tools, gather complementary information, an...
Fan Zhang, Guang-Ming Yao, Jin-Yang Wu et al.· 1 citation
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