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BASIS: Batchwise Advantage Estimation from Single-Rollout Information Sharing for LLM Reasoning

BASIS, a critic-free post-training algorithm designed to address the tradeoff between computational efficiency and sample efficiency in value estimation and policy learning, achieves performance close to multi-rollout GRPO-type baselines and often outperforms single-rollout REINFORCE-type baselines.

Shi-Jin Gong, Erhan Xu, Kai Ye et al. · 2 citations

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