most citedICLR: In-Context Learning of Representations

1 citations · 1 across the 3 of their papers we have counts for

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cs.LG2025

Provable Low-Frequency Bias of In-Context Learning of Representations

Yongyi Yang, Hidenori Tanaka, Wei Hu

In-context learning (ICL) enables large language models (LLMs) to acquire new behaviors from the input sequence alone without any parameter updates. Recent studies have shown that…

cs.LG2024

Swing-by Dynamics in Concept Learning and Compositional Generalization

Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana +3

Prior work has shown that text-conditioned diffusion models can learn to identify and manipulate primitive concepts underlying a compositional data-generating process, enabling gen…