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cs.CL2026
Neural Models and Language Model Prompting for the Multidimensional Evaluation of Open-Ended Conversations
Michelle Elizabeth, Alicja Kasicka, Natalia Krawczyk +4
The growing number of generative AI-based dialogue systems has made their evaluation a crucial challenge. This paper presents our contribution to this important problem through the…
cs.CL2025
Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations
Hichem Ammar Khodja, Frédéric Béchet, Quentin Brabant +2
This paper explores the robustness of language models (LMs) to variations in the temporal context within factual knowledge. It examines whether LMs can correctly associate a tempor…
cs.CL2024
TelcoLM: collecting data, adapting, and benchmarking language models for the telecommunication domain
Camille Barboule, Viet-Phi Huynh, Adrien Bufort +3
Despite outstanding processes in many tasks, Large Language Models (LLMs) still lack accuracy when dealing with highly technical domains. Especially, telecommunications (telco) is…