most citedDistance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation

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cs.LG2025

Probing In-Context Learning: Impact of Task Complexity and Model Architecture on Generalization and Efficiency

Binwen Liu, Peiyu Xu, Quan Yuan +1

We investigate in-context learning (ICL) through a meticulous experimental framework that systematically varies task complexity and model architecture. Extending beyond the linear…

cs.LG2024

Jet Expansions of Residual Computation

Yihong Chen, Xiangxiang Xu, Yao Lu +2

We introduce a framework for expanding residual computational graphs using jets, operators that generalize truncated Taylor series. Our method provides a systematic approach to dis…