Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning

ArXi:2504.13941v3 Announce Type: replace-cross Large Language Models (LLMs) have shown strong reasoning capabilities, particularly when enhanced through Reinforcement Learning (RL). While prior work has successfully applied RL to mathematical reasoning -- where rules and correctness are well-defined -- generalizing these methods to broader reasoning domains remains challenging due to limited data, the lack of verifiable reward structures, and diverse task requirements.