2 papers
cs.CL2026
What Matters to an LLM? Behavioral and Computational Evidences from Summarization
Yongxin Zhou, Changshun Wu, Philippe Mulhem +2
Large Language Models (LLMs) are now state-of-the-art at summarization, yet the internal notion of importance that drives their information selections remains hidden. We propose to…
cs.CL2025
TempPerturb-Eval: On the Joint Effects of Internal Temperature and External Perturbations in RAG Robustness
Yongxin Zhou, Philippe Mulhem, Didier Schwab
The evaluation of Retrieval-Augmented Generation (RAG) systems typically examines retrieval quality and generation parameters like temperature in isolation, overlooking their inter…