Stanford Paper Dissects the Circuit Behind In-Context Learning

Stanford researchers reverse-engineer the in-context learning circuit in 3-4B parameter Transformers using causal interventions, finding that few-shot classification works via gated key-value memory performing label retrieval, with an anti-recency bias mechanism.

2026-11-05 ~ 2026-11-05 · 2 related posts