1 citations · 1 across the 8 of their papers we have counts for
9 papers
Wolof-Adapted Industry-Ready Open-Weight Language Models
Gwénolé Lecorvé, Delphine Charlet, Pierre Adam +15
Wolof is spoken by 23M people, mostly in Senegal, but remains weakly supported by open-weight language models, while API models raise cost, governance, and sovereignty constraints…
DivMerge: A divergence-based model merging method for multi-tasking
Brahim Touayouch, Loïc Fosse, Géraldine Damnati +1
Multi-task learning (MTL) is often achieved by merging datasets before fine-tuning, but the growing availability of fine-tuned models has led to new approaches such as model mergin…
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…
Statistical Deficiency for Task Inclusion Estimation
Loïc Fosse, Frédéric Béchet, Benoît Favre +5
Tasks are central in machine learning, as they are the most natural objects to assess the capabilities of current models. The trend is to build general models able to address any t…
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…
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…
Emotion Identification for French in Written Texts: Considering their Modes of Expression as a Step Towards Text Complexity Analysis
Aline Étienne, Delphine Battistelli, Gwénolé Lecorvé
The objective of this paper is to predict (A) whether a sentence in a written text expresses an emotion, (B) the mode(s) in which it is expressed, (C) whether it is basic or comple…
WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models
Hichem Ammar Khodja, Frédéric Béchet, Quentin Brabant +2
The factuality of large language model (LLMs) tends to decay over time since events posterior to their training are "unknown" to them. One way to keep models up-to-date could be fa…
Age Recommendation from Texts and Sentences for Children
Rashedur Rahman, Gwénolé Lecorvé, Nicolas Béchet
Children have less text understanding capability than adults. Moreover, this capability differs among the children of different ages. Hence, automatically predicting a recommended…