3 papers
cs.AI2026
Data-driven Circuit Discovery for Interpretability of Language Models
Daking Rai, Mor Geva, Ziyu Yao
Circuit discovery aims to explain how language models (LMs) implement a specific task by localizing and interpreting a circuit, a computational subgraph responsible for the LM's be…
cs.CL2025
What's Not Said Still Hurts: A Description-Based Evaluation Framework for Measuring Social Bias in LLMs
Jinhao Pan, Chahat Raj, Ziyu Yao +1
Large Language Models (LLMs) often exhibit social biases inherited from their training data. While existing benchmarks evaluate bias by term-based mode through direct term associat…
cs.CL2024
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models
Yuqing Zhou, Ruixiang Tang, Ziyu Yao +1
Language models (LMs), despite their advances, often depend on spurious correlations, undermining their accuracy and generalizability. This study addresses the overlooked impact of…