most citedTowards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought

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cs.LG2026

ExpRL: Exploratory RL for LLM Mid-Training

Violet Xiang, Amrith Setlur, Chase Blagden +2

Sparse reward reinforcement learning (RL) has become a standard tool for improving LLM reasoning, but its success depends critically on the coverage present in the base model. In p…

cs.LG2025

Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Alon Albalak, Duy Phung, Nathan Lile +8

Increasing interest in reasoning models has led math to become a prominent testing ground for algorithmic and methodological improvements. However, existing open math datasets eith…