Proof Recommendation System for the HOL4 Theorem Prover
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Abstract (arXiv)
We introduce a proof recommender system for the HOL4 theorem prover. Our tool is built upon a transformer-based model [2] designed specifically to provide proof assistance in HOL4. The model is trained to discern theorem proving patterns from extensive libraries of HOL4 containing proofs of theorems. Consequently, it can accurately predict the next tactic(s) (proof step(s)) based on the history of previously employed tactics. The tool operates by reading a given sequence of tactics already used in a proof process (in our case, it contains at least three tactics), referred to as the current proof state, and provides recommendations for the next optimal proof step(s).
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 13 references that are in the map. First posted on arXiv 31 Dec 2024.
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6 of 13 references.
References · 6
- 2017Attention Is All You Needcited by 59,932
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
- 2020Tactic Learning and Proving for the Coq Proof Assistantcited by 8
- 2023CoProver: A Recommender System for Proof Constructioncited by 5
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