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cs.LG2026
Quantifying Empirical Compute-Supervision Tradeoffs in RLVR
Ryo Mitsuhashi, Patrick Chen, Isabelle Tseng +2
Reinforcement learning with verifiable rewards (RLVR) has become a standard paradigm for post-training language models, but in practice, verifiers are rarely perfect. Recent theore…
cs.LG2024★ 6 cited
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
Ryan Liu, Jiayi Geng, Addison J. Wu +3
Chain-of-thought (CoT) prompting has become a widely used strategy for improving large language and multimodal model performance. However, it is still an open question under which…