Author

Erika Lombart

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#natural language process... Review Apr 2026

Are Non-English Papers Reviewed Fairly? Language-of-Study Bias in NLP Peer Reviews

This work presents the first systematic characterization of language-of-study (LoS) bias, distinguishing negative and positive forms, and introduces the human-annotated dataset LOBSTER, which identifies four subcategories of negative bias, and finds that demanding unjustified cross-lingual generalization is the most do...

Ehsan Barkhordar, Abdulfattah Safa, Verena Blaschke et al. · arXiv.org · 0 citations

Conference Open access 2026

Label and Explanation Variation in LLM-Based Annotation: a Case Study in Natural Language Inference

Large language models (LLMs) have shown considerable promise for annotation purposes, yet questions remain about their ability to capture human label variation (HLV) — genuine disagreement between annotators often observed across NLP tasks. Here, we investigate how label and explanation variation manifests within and a...

Artur Kulmizev, Erika Lombart, Patrick Watrin et al. · Annual Meeting of the Associ... · 0 citations