algorithmic recourse 1in-context learning 1large language models 1sparse counterfactuals 1tabular data 1zeroth-order optimization 1
From the 1 of 3 linked papers with an AI index.
3 papers
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…
cs.CL2025
Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons
Wenshuo Dong, Qingsong Yang, Shu Yang +5
Large Language Models (LLMs) trained on massive data capture rich information embedded in the training data. However, this also introduces the risk of privacy leakage, particularly…
cs.LG2025
EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit Identification
Lin Zhang, Wenshuo Dong, Zhuoran Zhang +5
Understanding the internal mechanisms of transformer-based language models remains challenging. Mechanistic interpretability based on circuit discovery aims to reverse engineer neu…