imo-problems

This paper analyzes inference-time optimization techniques for AIMO 3, finding that model capability dominates over prompt engineering and diverse sampling strategies. The study reveals that high-temperature sampling already decorrelates errors maximally, leaving no room for prompt-based improvements, and identifies a 6-point selection loss gap between individual model pass@20 and majority voting consensus.