20 citations · 39 across the 5 of their papers we have counts for
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cs.AI2026
Beyond Entropy: Learning from Token-Level Distributional Deviations for LLM Reasoning
Xuanzhi Feng, Zhengyang Li, Zeyu Liu +6
Reinforcement Learning with Verifiable Rewards (RLVR) has significantly advanced Large Language Model (LLM) reasoning; however, it faces a fundamental optimization instability: uni…
cs.AI2025★ 1 cited
Language-Driven Coordination and Learning in Multi-Agent Simulation Environments
Zhengyang Li, Sawyer Campos, Nana Wang
This paper introduces LLM-MARL, a unified framework that incorporates large language models (LLMs) into multi-agent reinforcement learning (MARL) to enhance coordination, communica…