AIMO Interpretability Challenge
The proposed competition asks entrants to tell robust math reasoning from brittle shortcuts by looking inside frontier models.
The challenge is built around AI Mathematical Olympiad problems, new olympiad-level tasks, symbolic representations, and adversarial robustness assessments. Participants will get access to frontier reasoning models and compute support to develop interpretability methods for judging how models solve problems. The authors say the work is meant to produce an open robustness benchmark and baseline systems for mathematical reasoning and interpretability. Accepted as a NeurIPS 2026 competition. ArXiv · AI/CL/LG's note
The challenge is built around AI Mathematical Olympiad problems, new olympiad-level tasks, symbolic representations, and adversarial robustness assessments. Participants will get access to frontier reasoning models and compute support to develop interpretability methods for judging how models solve problems. The authors say the work is meant to produce an open robustness benchmark and baseline systems for mathematical reasoning and interpretability. Accepted as a NeurIPS 2026 competition. ArXiv · AI/CL/LG's note
score 5