JobResQA: A Benchmark for LLM Machine Reading Comprehension on Multilingual Résumés and JDs

• URL: http://arxiv.org/abs/2601.23183v1
• Date: Fri, 30 Jan 2026 17:06:59 GMT
• Title: JobResQA: A Benchmark for LLM Machine Reading Comprehension on Multilingual Résumés and JDs
• Authors: Casimiro Pio Carrino, Paula Estrella, Rabih Zbib, Carlos Escolano, José A. R. Fonollosa,
• Abstract summary: JobResQA is a benchmark for evaluating Machine Reading (MRC) capabilities on HR-specific tasks.<n>The dataset comprises 581 QA pairs across 105 résumé-job description pairs in five languages.
• Score: 3.83467384247581
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: We introduce JobResQA, a multilingual Question Answering benchmark for evaluating Machine Reading Comprehension (MRC) capabilities of LLMs on HR-specific tasks involving résumés and job descriptions. The dataset comprises 581 QA pairs across 105 synthetic résumé-job description pairs in five languages (English, Spanish, Italian, German, and Chinese), with questions spanning three complexity levels from basic factual extraction to complex cross-document reasoning. We propose a data generation pipeline derived from real-world sources through de-identification and data synthesis to ensure both realism and privacy, while controlled demographic and professional attributes (implemented via placeholders) enable systematic bias and fairness studies. We also present a cost-effective, human-in-the-loop translation pipeline based on the TEaR methodology, incorporating MQM error annotations and selective post-editing to ensure an high-quality multi-way parallel benchmark. We provide a baseline evaluations across multiple open-weight LLM families using an LLM-as-judge approach revealing higher performances on English and Spanish but substantial degradation for other languages, highlighting critical gaps in multilingual MRC capabilities for HR applications. JobResQA provides a reproducible benchmark for advancing fair and reliable LLM-based HR systems. The benchmark is publicly available at: https://github.com/Avature/jobresqa-benchmark

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