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Author

Pushmeet Kohli

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#artificial intelligence Open access Oct 2026

Advancing mathematics research with AI-driven formal proof search

Large language models (LLMs) increasingly excel at mathematics tasks, but their unreliability limits their utility in mathematics research. A mitigation is to use LLMs to generate formal proofs in languages such as Lean, in which the compiler verifies every proof step. We present the first demonstration of this method’...

George Tsoukalas, Anton Kovsharov, Sergey Shirobokov et al. · 3 citations
#generative ai Open access Sep 2026

Function-preserving watermarking of AI-generated proteins

Abstract Generative artificial intelligence (AI) models are revolutionizing biology, with tools such as AlphaFold 3 and protein design models accelerating breakthroughs in protein structure prediction and the creation of new functional proteins 1 . Tracking and establishing the provenance of AI-generated protein sequen...

David Stutz, Alexander I. Cowen-Rivers, Guillermo Ortiz-Jiménez et al. · 1 citation

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