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cs.LG2024
HARP: A challenging human-annotated math reasoning benchmark
Albert S. Yue, Lovish Madaan, Ted Moskovitz +2
Math reasoning is becoming an ever increasing area of focus as we scale large language models. However, even the previously-toughest evals like MATH are now close to saturated by f…
cs.LG2024★ 2 cited
What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Aaditya K. Singh, Ted Moskovitz, Felix Hill +2
In-context learning is a powerful emergent ability in transformer models. Prior work in mechanistic interpretability has identified a circuit element that may be critical for in-co…