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From the 1 of 7 linked papers with an AI index.

most citedSCOPE-RL: Stable and Quantitative Control of Policy Entropy in RL Post-Training

1 citations · 1 across the 7 of their papers we have counts for

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cs.AI2026

Implicit Compression Regularization: Concise Reasoning via Internal Shorter Distributions in RL Post-Training

Chen Wang, Hexuan Deng, Yining Zhang +5

Reinforcement learning with verifiable rewards improves LLM reasoning but often induces overthinking, where models generate unnecessarily long reasoning traces. Existing methods ma…