Cover Image

PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Sumin, Park, Juhyeon, Moon, Taesup
Format:	Preprint
Published:	2026
Subjects:	Computers and Society Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models
by: Heakl, Ahmed, et al.
Published: (2024)

Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring
by: Nghiem, Huy, et al.
Published: (2026)

Gender and Positional Biases in LLM-Based Hiring Decisions: Evidence from Comparative CV/Résumé Evaluations
by: Rozado, David
Published: (2025)

Identifying and Improving Disability Bias in GPT-Based Resume Screening
by: Glazko, Kate, et al.
Published: (2024)

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening
by: Webster, Kevin T
Published: (2025)

Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows
by: Surati, Sajel, et al.
Published: (2026)

Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval
by: Wilson, Kyra, et al.
Published: (2024)

Measuring Validity in LLM-based Resume Screening
by: Castleman, Jane, et al.
Published: (2026)

SP-Guard: Selective Prompt-adaptive Guidance for Safe Text-to-Image Generation
by: Yu, Sumin, et al.
Published: (2025)

FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations
by: Wen, Athena, et al.
Published: (2025)

Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter and What They Represent
by: Mickel, Jennifer
Published: (2024)

Measuring Real-World Prompt Injection Attacks in LLM-based Resume Screening
by: Zhang, Mohan, et al.
Published: (2026)

In-Situ Behavioral Evaluation for LLM Fairness, Not Standardized-Test Scores
by: Tang, Zeyu, et al.
Published: (2026)

Anchor-and-Resume Concession Under Dynamic Pricing for LLM-Augmented Freight Negotiation
by: Nguyen, Hoang, et al.
Published: (2026)

AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening
by: Lo, Frank P. -W., et al.
Published: (2025)

ConFit: Improving Resume-Job Matching using Data Augmentation and Contrastive Learning
by: Yu, Xiao, et al.
Published: (2024)

AI Security Beyond Core Domains: Resume Screening as a Case Study of Adversarial Vulnerabilities in Specialized LLM Applications
by: Mu, Honglin, et al.
Published: (2025)

Layout-Aware Parsing Meets Efficient LLMs: A Unified, Scalable Framework for Resume Information Extraction and Evaluation
by: Zhu, Fanwei, et al.
Published: (2025)

When Models Disagree: Rethinking LLM Evaluation for Public Comment Analysis
by: Najera, Aisha, et al.
Published: (2026)

Tuning Derivatives for Causal Fairness in Machine Learning
by: Edström, Filip, et al.
Published: (2026)

FairJob: A Real-World Dataset for Fairness in Online Systems
by: Vladimirova, Mariia, et al.
Published: (2024)

Are You the A-hole? A Fair, Multi-Perspective Ethical Reasoning Framework
by: Munir, Sheza, et al.
Published: (2026)

Impact of Fairness Regulations on Institutions' Policies and Population Qualifications
by: Montaseri, Hamidreza, et al.
Published: (2024)

PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation
by: Park, Junho, et al.
Published: (2026)

Causal Manifold Fairness: Enforcing Geometric Invariance in Representation Learning
by: Rathore, Vidhi
Published: (2026)

FairDD: Fair Dataset Distillation
by: Zhou, Qihang, et al.
Published: (2024)

An Ontology for Representing Curriculum and Learning Material
by: Christou, Antrea, et al.
Published: (2025)

TLDR: Text Based Last-layer Retraining for Debiasing Image Classifiers
by: Park, Juhyeon, et al.
Published: (2023)

DEAL: Decoupled Classifier with Adaptive Linear Modulation for Group Robust Early Diagnosis of MCI to AD Conversion
by: Lee, Donggyu, et al.
Published: (2024)

Quantifying Algorithmic Friction in Automated Resume Screening Systems
by: Fofanah, Ibrahim Denis
Published: (2026)

Small Changes, Big Impact: Demographic Bias in LLM-Based Hiring Through Subtle Sociocultural Markers in Anonymised Resumes
by: Tan, Bryan Chen Zhengyu, et al.
Published: (2026)

Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach
by: Jiang, Feihu, et al.
Published: (2024)

Mirror, Mirror on the Wall: Can VLM Agents Tell Who They Are at All?
by: Ziliotto, Filippo, et al.
Published: (2026)

ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement
by: Zinjad, Saurabh Bhausaheb, et al.
Published: (2024)

A Justice Lens on Fairness and Ethics Courses in Computing Education: LLM-Assisted Multi-Perspective and Thematic Evaluation
by: Andrews, Kenya S., et al.
Published: (2025)

Using Zero-Shot LLM-Generated Survey Data for Geographically Explicit Population Synthesis
by: Anderson, Taylor, et al.
Published: (2026)

CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations
by: Yu, Xiangning, et al.
Published: (2026)

On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis
by: Binkyte, Ruta, et al.
Published: (2022)

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
by: Han, Xiaotian, et al.
Published: (2023)

An Evaluation of Cultural Value Alignment in LLM
by: Sukiennik, Nicholas, et al.
Published: (2025)