"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of
Large Language Models in Employment Recommendations

"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations

18 June 2024

John J. Prindle

Hal Daumé III

Papers citing ""You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations"

6 / 6 papers shown

Title
Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment Melissa Kazemi Rad Huy Nghiem Andy Luo Sahil Wadhwa Mohammad Sorower Stephen Rawls AAML 89 2 0 22 Jan 2025
Natural Language Processing for Human Resources: A Survey Naoki Otani Nikita Bhutani Estevam R. Hruschka VLM 35 0 0 21 Oct 2024
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs Shashank Gupta Vaishnavi Shrivastava A. Deshpande A. Kalyan Peter Clark Ashish Sabharwal Tushar Khot 114 49 0 08 Nov 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations Jessica Dai Sohini Upadhyay Ulrich Aivodji Stephen H. Bach Himabindu Lakkaraju 35 55 0 15 May 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019