mlsanityData to 7 Oct 2026

Gender Bias in LLM-generated Interview Responses

arXiv 2410.20739 ↗First posted 28 Oct 2024cs.CL cs.AIcited by 10

Not on the map. Why?

Abstract (arXiv)

LLMs have emerged as a promising tool for assisting individuals in diverse text-generation tasks, including job-related texts. However, LLM-generated answers have been increasingly found to exhibit gender bias. This study evaluates three LLMs (GPT-3.5, GPT-4, Claude) to conduct a multifaceted audit of LLM-generated interview responses across models, question types, and jobs, and their alignment with two gender stereotypes. Our findings reveal that gender bias is consistent, and closely aligned with gender stereotypes and the dominance of jobs. Overall, this study contributes to the systematic examination of gender bias in LLM-generated interview responses, highlighting the need for a mindful approach to mitigate such biases in related applications.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 7 of its 23 references that are in the map. First posted on arXiv 28 Oct 2024.

Builds on

7 of 23 references.

References · 7

  1. 2023A Survey of Large Language Modelscited by 2,537
  2. 2018Gender Bias in Coreference Resolution: Evaluation and Debiasing Methodscited by 657
  3. 2018Gender Bias in Coreference Resolutioncited by 438
  4. 2023"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letterscited by 196
  5. 2023The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendationscited by 41
  6. 2024Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?cited by 24
  7. 2024Rethinking Skill Extraction in the Job Market Domain using Large Language Modelscited by 10

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 7; 2026: 3.

10 papers.

  1. 2025Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspectivecited by 29
  2. 2025Rethinking LLM Bias Probing Using Lessons from the Social Sciencescited by 6
  3. 2025Societal Impacts Research Requires Benchmarks for Creative Composition Taskscited by 3
  4. 2025Understanding Gender Bias in AI-Generated Product Descriptionscited by 2
  5. 2025From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationshipcited by 2
  6. 2026Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detectioncited by 2
  7. 2025The LLM Wears Prada: Analysing Gender Bias and Stereotypes through Online Shopping Datacited by 1
  8. 2025Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claudecited by 0
  9. 2026Contaminated Collaboration: Measuring Gender Bias Transfer in LLM-Assisted Student Writingcited by 0
  10. 2026LLMs Mirror Country-Specific Gender Patterns If Asked, but Skew Male When Generating Media in Local Languagescited by 0