S3AC Improves LLM Reasoning via Stabilized Actor-Critic Training
October 25, 2026
S3AC introduces a practical critic-training recipe for long chain-of-thought reasoning, providing token-level advantages and prompt-specific baselines. This addresses the coverage and gradient instability issues common in reinforcement learning with verifiable rewards for LLMs.
HOW THIS AFFECTS YOU
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builderImproved reasoning capabilities in small models could reduce your reliance on massive inference-time compute.
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researcherYou can implement more stable RLVR training for long-reasoning models using token-specific credit assignment.