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The Cartographer
LLMSTEP: LLM proofstep suggestions in Lean
October 27, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Sean Welleck, Rahul Saha
arXiv ID
2310.18457
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LG
Citations
39
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We present LLMSTEP, a tool for integrating a language model into the Lean proof assistant. LLMSTEP is a Lean 4 tactic that sends a user's proof state to a server hosting a language model. The language model generates suggestions, which are checked in Lean and displayed to a user in their development environment. We provide a baseline language model, along with code for fine-tuning and evaluation to support further development. We provide server implementations that run on CPU, a CUDA GPU, or a Google Colab notebook, as a step towards fast, effective language model suggestions for any user.
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