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New research from Google.

Just shows the impressive results you can get from custom agent harnesses.

LEAP wraps a general-purpose LLM in an agentic scaffold that grounds every step in the Lean compiler and iterates against verifier feedback.

The same general model solves all 12 Putnam 2025 problems and lifts Lean-IMO-Bench one-shot solve rate from under 10% to 70%, beating a specialized gold-medal system that scores 48%.

Paper: arxiv.org/abs/2606.03303

Learn to build effective AI agents in our academy: academy.dair.ai

Jun 3
at
2:56 PM
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