Mistral AI releases Leanstral 1.5, an updated Lean 4 formal proof engineering model optimized for automated theorem proving and autoformalization, with 119B total parameters and 6.5B active parameters.
Mistral AI releases Leanstral 1.5, a 6B active parameter model for Lean 4 proof engineering, achieving state-of-the-art results on multiple formal verification benchmarks and uncovering real-world bugs, fully open-sourced under Apache-2.0.
Introducing Leanstral 1.5, a 119B parameter (6B active) open model for formal proof engineering in Lean 4, achieving 100% on miniF2F, state-of-the-art scores on PutnamBench and FATE benchmarks, and discovering previously unknown bugs in open-source repositories.
This paper evaluates the robustness of proof autoformalization models in Lean 4 under global and local perturbations, finding that current LLM-based models are sensitive to perturbations and often fail to faithfully reflect local changes.
This paper presents Process-Verified Reinforcement Learning, using the Lean proof assistant as a process oracle to provide fine-grained tactic-level feedback during training, improving theorem proving performance.
FormalSLT is a Lean 4 library that formally proves finite-sample statistical learning theory results (ERM, VC bounds, Rademacher bounds, PAC-Bayes, etc.) with explicit assumptions and zero sorry statements, providing a machine-checked foundation for ML theory.