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How Deep Can LLMs Learn to Reason? Expressiveness Is Key

Wang, Tianle et al.
arXiv (All) · Papers
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computation-and-language
Reinforcement learning (RL) has been applied to improve large language model (LLM) reasoning, yet the systematic study of how training scales with task difficulty has been hampered by the lack of controlled, scalable environments. Observed LLM shortcomings in long-horizon reasoning have raised the p
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