works on
algorithmic recourse 1in-context learning 1large language models 1sparse counterfactuals 1tabular data 1zeroth-order optimization 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.LG2026

Algorithmic Recourse of In-Context Learning for Tabular Data

Wenshuo Dong, Jiaming Zhang, Shaopeng Fu +3

The paper introduces a theoretical and practical framework for providing algorithmic recourse on tabular data using in-context learning with large language models, proposing a zero…