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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -239,6 +239,7 @@ The recent timeline of reasoning LLMs, covering core methods and the release of
* rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking [[Paper]](https://arxiv.org/abs/2501.04519) ![](https://img.shields.io/badge/arXiv-2025.01-red)
* RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? [[Paper]](https://arxiv.org/abs/2501.11284) ![](https://img.shields.io/badge/arXiv-2025.01-red)
* Perception in Reflection [[Paper]](https://arxiv.org/abs/2504.07165) ![](https://img.shields.io/badge/arXiv-2025.04-red)
* Generating Symbolic World Models via Test-time Scaling of Large Language Models [[Paper]](https://arxiv.org/abs/2502.04728) ![](https://img.shields.io/badge/TMLR-2025.02-blue)
## Part 7: Efficient System2

* Guiding Language Model Reasoning with Planning Tokens [[Paper]](https://arxiv.org/abs/2310.05707) ![](https://img.shields.io/badge/arXiv-2024.10-red)
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* CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models [[paper]](https://arxiv.org/abs/2502.16614) ![](https://img.shields.io/badge/arXiv-2025.02-red)
* Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? [[paper]](https://arxiv.org/abs/2502.19361) ![](https://img.shields.io/badge/arXiv-2025.02-red)
* FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving [[paper]](https://arxiv.org/abs/2502.20238) ![](https://img.shields.io/badge/arXiv-2025.02-red)
* FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models [[paper]](https://arxiv.org/abs/2505.02735) ![](https://img.shields.io/badge/arXiv-2025.05-red)



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