Researchers have developed HOA, an open framework designed to enhance the problem-solving capabilities of AI agents across various Olympiad tasks. HOA coordinates multiple agent sessions, incorporating feedback from independent reviewers, a structured wiki for domain-specific knowledge, and a verifier for checking generated proofs. When tested with GPT-5.6 Sol, HOA achieved perfect scores on the International Mathematical Olympiad (IMO), International Physics Olympiad (IPhO), and International Olympiad in Informatics (IOI) for 2026, and performed exceptionally well on other benchmarks like PutnamBench and the Lean-Eval leaderboard. Notably, using the open-source Kimi-K3 model, HOA achieved comparable or even superior results to the closed-source GPT-5.6 Sol baseline on several Olympiads, demonstrating the effectiveness of systematic feedback mechanisms. AI
IMPACT Demonstrates how structured feedback can significantly boost AI agent performance on complex reasoning tasks, potentially accelerating progress in scientific discovery.
RANK_REASON The item is a research paper detailing a new framework and its performance on academic benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]
- Erdős Conjectures
- GPT-5.6 Sol
- International Chemistry Olympiad
- International Mathematical Olympiad
- International Olympiad in Informatics
- International Physics Olympiad
- Kimi k3
- Lean
- Lean evaluation system of manufacturing enterprises based on full lifecycle
- PutnamBench
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