Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring
Published in arXiv 2026, 2026
Subtle race-gender evaluative framing in LLM-generated resume summaries undermines hiring fairness.
Publications
You can also find my articles on my Google Scholar profile.
Conference Papers
SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models
Published in ACL 2026, 2026
Data-efficient toxicity detection via LLM-based synthetic explanations.
Balancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment
Published in ML4H 2025 - Best Paper, 2025
Simple and modular iterative frameworks to improve safety of healthcare AI assistants post-deployment via preference optimization
‘Rich Dad, Poor Lad’: How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?
Published in EMNLP 2025, 2025
How LLMs contextualize socioeconomic factors in college admissions.
A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges
Published in CVPR Workshop 2025, 2025
A survey on Large Vision-Langauge Models.
You Gotta be a Doctor, Lin
Published in EMNLP 2024, 2024
Our empirical results indicate a preference among these models for hiring candidates with White female-sounding names over other demographic groups across 40 occupations