2 papers
cs.LG2025
Automatic Demonstration Selection for LLM-based Tabular Data Classification
Shuchu Han, Wolfgang Bruckner
A fundamental question in applying In-Context Learning (ICL) for tabular data classification is how to determine the ideal number of demonstrations in the prompt. This work address…
cs.AI2025
Alignment Revisited: Are Large Language Models Consistent in Stated and Revealed Preferences?
Zhuojun Gu, Quan Wang, Shuchu Han
Recent advances in Large Language Models (LLMs) highlight the need to align their behaviors with human values. A critical, yet understudied, issue is the potential divergence betwe…