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Evaluating the step-by-step reliability of large language model (LLM) reasoning, such as Chain-of-Thought, remains challenging due to the difficulty and cost of obtaining high-quality step-level supervision.
Some studies in machine learning using the game of checkers
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
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Measuring faithfulness in chain-of-thought reasoning
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Back to basics: Revisiting reinforce style optimization for learning from human feedback in llms
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Deepseekmath: Pushing the limits of mathematical reasoning in open language models
alphaXiv searches the wider corpus for related work and actual follow-ups.
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Prover-verifier games improve legibility of llm outputs
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Qwen · 2024
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Omni-math: A universal olympiad level mathematic benchmark for large language models
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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
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Tinyzero
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Self-playing adversarial language game enhances llm reasoning
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