32 citations · 70 across the 8 of their papers we have counts for
5 papers · 1 filter
Small Agents with Semantic Search: Efficient Multilingual Code Localization
Maxence Lasbordes, Aarush Sinha, Raphael Sourty +2
Locating relevant files from natural-language requests is a core subtask for agents operating over code repositories. We investigate whether this task can be delegated to compact,…
DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search
Raphaël Sourty, Antoine Chaffin, Paulo Roberto Moura Junior +1
State-of-the-art retrieval models increasingly rely on closed training data, creating a reproducibility gap. We present an open end-to-end recipe for training retrieval models and…
Rethinking the Multilingual Reasoning Gap with Layer Swap
Maxence Lasbordes, Amélie Chatelain, Djamé Seddah
Recent reasoning Large Language Models produce a chain-of-thought (CoT) predominantly in English, even when prompted in non-English languages. Prior work suggests that forcing the…
ColBERT-Zero: To Pre-train Or Not To Pre-train ColBERT models
Antoine Chaffin, Luca Arnaboldi, Amélie Chatelain +1
Current state-of-the-art multi-vector models are obtained through a small Knowledge Distillation (KD) training step on top of strong single-vector models, leveraging the large-scal…
PAGnol: An Extra-Large French Generative Model
Julien Launay, Elena Tommasone, Baptiste Pannier +5
Access to large pre-trained models of varied architectures, in many different languages, is central to the democratization of NLP. We introduce PAGnol, a collection of French GPT m…