Awesome-LLM-Reasoning

Why we included this project

Getting a language model to reason before it answers is a fast-moving area, and this paper index is a practical way to get oriented. It covers the reasoning literature, including the chain-of-thought line of work and the newer o1 and DeepSeek-R1 approaches, and groups surveys, analysis papers, and technique write-ups into sections that separate emergent reasoning in large models, multimodal reasoning, and attempts to scale smaller models, so you can find the material that matches your setup. Each entry links to the arXiv paper and, where available, the authors' code, which helps when you want to reproduce a method or compare options before picking one. The list is actively maintained and accepts contributions, so it stays current as new reasoning work appears. For teams exploring prompt strategies or reasoning benchmarks, it is a solid starting bibliography rather than something you deploy.