1.4k citations · 4.5k across the 58 of their papers we have counts for
63 papers
Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring
Huy Nghiem, Phuong-Anh Nguyen-Le, Sy-Tuyen Ho +1
Research has documented LLMs' name-based bias in hiring and salary recommendations. In this paper, we instead consider a setting where LLMs generate candidate summaries for downstr…
Steering Safely or Off a Cliff? Rethinking Specificity and Robustness in Inference-Time Interventions
Navita Goyal, Hal Daumé
Model steering, which involves intervening on hidden representations at inference time, has emerged as a lightweight alternative to finetuning for precisely controlling large langu…
ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles
Kayo Yin, Chinmay Singh, Fyodor O. Minakov +5
Deaf and hard-of-hearing (DHH) students face significant barriers in accessing science, technology, engineering, and mathematics (STEM) education, notably due to the scarcity of ST…
PERSONA: A Reproducible Testbed for Pluralistic Alignment
Louis Castricato, Nathan Lile, Rafael Rafailov +2
The rapid advancement of language models (LMs) necessitates robust alignment with diverse user values. However, current preference optimization approaches often fail to capture the…
What is Your Favorite Gender, MLM? Gender Bias Evaluation in Multilingual Masked Language Models
Jeongrok Yu, Seong Ug Kim, Jacob Choi +1
Bias is a disproportionate prejudice in favor of one side against another. Due to the success of transformer-based Masked Language Models (MLMs) and their impact on many NLP tasks,…
Multilingual large language models leak human stereotypes across language boundaries
Yang Trista Cao, Anna Sotnikova, Jieyu Zhao +3
Multilingual large language models have gained prominence for their proficiency in processing and generating text across languages. Like their monolingual counterparts, multilingua…