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NeurIPS Tutorial on Machine Learning for Theorem Proving
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Video Recording # Overview Machine learning, especially large language models (LLMs), has shown promise in proving formal theorems using proof assistants such as [Coq](https://coq.inria.fr/), [Isabell
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NeurIPS Tutorial on Machine Learning for Theorem Proving Toggle navigation Tutorial on Machine Learning for Theorem Proving @ NeurIPS 2023 NeurIPS Tutorial on Machine Learning for Theorem Proving Video Recording Overview Machine learning, especially large language models (LLMs), has shown promise in proving formal theorems using proof assistants such as Coq , Isabelle , and Lean . Theorem proving is an important challenge for machine learning: Formal proofs are computer programs whose correctness can be verified. Therefore, theorem proving is a form of code generation with rigorous evaluation and no room for the model to hallucinate, opening up a new avenue for addressing LLMs’ flaws in factuality. Despite its potential, learning-based theorem proving has significant entry barriers, primarily due to the steep learning curve for proof assistants. This tutorial aims to bridge this gap and make theorem proving accessible to researchers with a general machine learning back...
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