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license: apache-2.0
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license: apache-2.0
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## References
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- [Re-Reading Improves Reasoning in Large Language Models](https://arxiv.org/abs/2309.06275)
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- [In-Context Principle Learning from Mistakes](https://arxiv.org/abs/2402.05403)
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- [Planning In Natural Language Improves LLM Search For Code Generation](https://arxiv.org/abs/2409.03733)
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- [Self-Consistency Improves Chain of Thought Reasoning in Language Models](https://arxiv.org/abs/2203.11171)
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- [Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers](https://arxiv.org/abs/2408.06195)
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- [Mixture-of-Agents Enhances Large Language Model Capabilities](https://arxiv.org/abs/2406.04692)
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- [Prover-Verifier Games improve legibility of LLM outputs](https://arxiv.org/abs/2407.13692)
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- [Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning](https://arxiv.org/abs/2405.00451)
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- [Unsupervised Evaluation of Code LLMs with Round-Trip Correctness](https://arxiv.org/abs/2402.08699)
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- [Patched MOA: optimizing inference for diverse software development tasks](https://arxiv.org/abs/2407.18521)
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- [Patched RTC: evaluating LLMs for diverse software development tasks](https://arxiv.org/abs/2407.16557)
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