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cs.CL2026

Learning Sexism Detection Using Multi-Agent Perspectivist Preference Optimization

Hadi Mohammadi, Tina Shahedi, Robert A. Bagheri +2

When people label text for sexism, they often disagree, and not because some of them are wrong: they genuinely perceive sexism differently. Most NLP systems discard this disagreeme…

cs.CL2026

Using Human-LLM Disagreement to Improve Checklist-Based Quality Appraisal

Timo van der Kuil, Bruno Messina Coimbra, Mirjam van Zuiden +7

Systematic reviews rely on quality appraisal of included studies, a process that is time-consuming and sensitive to ambiguity in checklist criteria. Although large language models…

cs.CL2026

Language Re-generation: An investigation into information locality effects on reconstruction

Amirhossein Mohammadi, Laurence E. Frank, Albert Gatt +1

Information locality, the tendency for syntactically related words to appear close together, shapes both human language processing and language model learning. While prior work has…

cs.CL2026

Finding Meaning in Embeddings: Concept Separation Curves

Paul Keuren, Marc Ponsen, Robert Ayoub Bagheri

Sentence embedding techniques aim to encode key concepts of a sentence's meaning in a vector space. However, the majority of evaluation approaches for sentence embedding quality re…

cs.CL2025

EvalMORAAL: Interpretable Chain-of-Thought and LLM-as-Judge Evaluation for Moral Alignment in Large Language Models

Hadi Mohammadi, Anastasia Giachanou, Robert A. Bagheri

We present EvalMORAAL, a transparent chain-of-thought (CoT) framework that uses two scoring methods (log-probabilities and direct ratings) plus a model-as-judge peer review to eval…

cs.CL2025

Explainability in Practice: A Survey of Explainable NLP Across Various Domains

Hadi Mohammadi, Robert A. Bagheri, Anastasia Giachanou +1

Natural Language Processing (NLP) is now embedded in critical sectors including healthcare, finance, and customer relationship management, where models such as GPT-4o, Gemini, and…