awesome-o1
AI searchawesome-o1 is a bibliography and survey project on GitHub centered around research papers related to OpenAI o1. It compiles a list of papers that may be valuable for understanding o1 and categorizes these works by topic, such as self-consistency, chain-of-thought, tree-of-thought, verifiers, process rewards, self-training, expert iteration, search and planning, and test-time compute scaling. The project also provides links to o1 tutorial slides and videos, and includes a complete reference list listing authors, years, titles, and arXiv or conference links. Overall, this repository serves readers who want to systematically track the research lineage of reasoning and reinforcement learning behind o1, making it easy to find papers by topic and conduct further reading.