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20242026
most citedHypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding

1 citations · 1 across the 7 of their papers we have counts for

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cs.AI2026

UniOPSD: Unifying Outcome and Hindsight Feedback for Agentic Reinforcement Learning

Zenghuang Fu, Zhaoyang Li, Qiuyuan Ai +8

Reinforcement learning has become an effective approach to training language model agents, but sparse and delayed outcome rewards provide limited guidance for credit assignment acr…

cs.AI2026

SIPO: Selective-Inference Policy Optimization for Tree-Structured Agentic RL

Zenghuang Fu, Ningqi Chen, Mingda Jia +10

Tree-structured reinforcement learning trains search agents by comparing alternative continuations and propagating terminal rewards to intermediate decisions. Adaptive expansion, h…