Fields Model Initiative

AIMO Interpretability Challenge: distinguishing robust from spurious reasoning in frontier math models

Researchers propose the AIMO Interpretability Challenge, a competition designed to distinguish robust reasoning from spurious shortcuts in frontier mathematical language models using interpretability methods. The challenge builds on AI Mathematical Olympiad problems and provides access to frontier reasoning models, adversarial robustness assessments, and olympiad-level problem variants. It aims to produce an open robustness benchmark and baseline systems, addressing the core limitation that high benchmark accuracy does not reveal whether a model's reasoning generalizes. The competition connects interpretability and generalization research around the question of whether frontier model decision-making is reliably generalizable.