24 citations · 26 across the 8 of their papers we have counts for
4 papers · 1 filter
MINIF2F-DAFNY: LLM-Guided Mathematical Theorem Proving via Auto-Active Verification
Mantas Baksys, Stefan Zetzsche, Olivier Bouissou +1
LLMs excel at reasoning, but validating their steps remains challenging. Formal verification offers a solution through mechanically checkable proofs. Interactive theorem provers (I…
ATLAS: Automated Toolkit for Large-Scale Verified Code Synthesis
Mantas Baksys, Stefan Zetzsche, Olivier Bouissou +3
Large language models have become proficient at generating functional code, but ensuring the output truly matches the programmer's intent remains difficult. Testing improves trust,…
Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning
Haiming Wang, Mert Unsal, Xiaohan Lin +37
We introduce Kimina-Prover Preview, a large language model that pioneers a novel reasoning-driven exploration paradigm for formal theorem proving, as showcased in this preview rele…
Kimina Lean Server: A High-Performance Lean Server for Large-Scale Verification
Marco Dos Santos, Hugues de Saxcé, Haiming Wang +6
We introduce the Kimina Lean Server, an open-source project designed as a high-performance verifier for reinforcement learning pipelines. Built on top of the Lean REPL (Read-Eval-P…