jeffhj/LM-reasoning
A curated collection of research papers and resources on reasoning in large language models.

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This repository aggregates academic papers, surveys, and resources on reasoning abilities in LLMs. It organizes materials by technique (finetuning, prompting, in-context learning, chain-of-thought) and by evaluation/analysis. The collection is maintained by researchers at UIUC and includes contributions from Google Brain authors. It serves as a reference resource for understanding emergent reasoning capabilities and prompting strategies in language models.