Rethinking Groups in Critic-Free RLVR

In three linesarXiv paper on critic-free reinforcement learning for LLMs. Authors challenge the role of rollout groups in existing methods and propose negative token filtering to enable stable single-rollout training, improving performance on agentic tasks compared to group-based RL techniques.

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