FLARE: Verifying MILP Reformulations with LLM-Based Theorem Proving

Shared on Bluesky by 3 AI experts

• E Ethan @ethanrosenthal.com amplified

  AI Firehose @ai-firehose.column.social

  FLARE is a framework that uses large language models and automated theorem proving to verify mixed-integer linear programming reformulations with 100% accuracy on NP-hard problems, transforming optimization modeling and …

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• E Ellen Vitercik @ellen-v.bsky.social: Paper: arxiv.org/abs/2608.25220 Code + benchmark: flare.henryrobbins.com Led by my student Henry Robbins, with @lawlessopt.bsky.social and … →
• A AI Firehose @ai-firehose.column.social: FLARE is a framework that uses large language models and automated theorem proving to verify mixed-integer linear programming reformulations… →