32 citations · 70 across the 8 of their papers we have counts for
11 papers
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…
Is the Number of Trainable Parameters All That Actually Matters?
Amélie Chatelain, Amine Djeghri, Daniel Hesslow +2
Recent work has identified simple empirical scaling laws for language models, linking compute budget, dataset size, model size, and autoregressive modeling loss. The validity of th…
LightOn Optical Processing Unit: Scaling-up AI and HPC with a Non von Neumann co-processor
Charles Brossollet, Alessandro Cappelli, Igor Carron +14
We introduce LightOn's Optical Processing Unit (OPU), the first photonic AI accelerator chip available on the market for at-scale Non von Neumann computations, reaching 1500 TeraOP…
Online Change Point Detection in Molecular Dynamics With Optical Random Features
Amélie Chatelain, Elena Tommasone, Laurent Daudet +1
Proteins are made of atoms constantly fluctuating, but can occasionally undergo large-scale changes. Such transitions are of biological interest, linking the structure of a protein…
Neutrino decoherence in presence of strong gravitational fields
Amélie Chatelain, Maria Cristina Volpe
We explore the impact of strong gravitational fields on neutrino decoherence. To this aim, we employ the density matrix formalism to describe the propagation of neutrino wave packe…
Neutrino propagation in binary neutron star mergers in presence of nonstandard interactions
Amélie Chatelain, Maria Cristina Volpe
We explore the impact of nonstandard interactions on neutrino propagation in accretion disks around binary neutron star mergers remnants. We show flavor evolution can be significan…
Helicity coherence in binary neutron star mergers and non-linear feedback
Amélie Chatelain, Cristina Volpe
Neutrino flavor conversion studies based on astrophysical environments usually implement neutrino mixings, neutrino interactions with matter and neutrino self-interactions. In anis…