3 papers
cs.CL2026
Explainability-Based Token Replacement on LLM-Generated Text
Hadi Mohammadi, Anastasia Giachanou, Daniel L. Oberski +1
Generative models, especially large language models (LLMs), have shown remarkable progress in producing text that appears human-like. However, they often exhibit patterns that make…
cs.CL2025
PATCH! {P}sychometrics-{A}ssis{T}ed Ben{CH}marking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics
Qixiang Fang, Daniel L. Oberski, Dong Nguyen
Many existing benchmarks of large (multimodal) language models (LLMs) focus on measuring LLMs' academic proficiency, often with also an interest in comparing model performance with…
cs.CL2025
Explainability in Practice: A Survey of Explainable NLP Across Various Domains
Hadi Mohammadi, Ayoub Bagheri, Robert A. Bagheri +2
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…