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Chujie Zhao

2 accepted papers

2025

Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them

EMNLP 2025

Large language models (LLMs) have been able to perform various forms of reasoning tasks ina wide range of scenarios, but are they truly engaging in task abstraction and rule-based reasoning beyond mere memorization? To answer this question, we propose a novel experimentalapproach, Misleading Fine-Tu

Cited by 0SourcePDFScholar
2024

Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize

ICML 2024poster

Learning representations that generalize under distribution shifts is critical for building robust machine learning models. However, despite significant efforts in recent years, algorithmic advances in this direction have been limited. In this work, we seek to understand the fundamental difficulty o…