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20222026
most citedA Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks

13 citations · 32 across the 15 of their papers we have counts for

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Showing 2025 · cs.CLShow all

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cs.CL2025

An Empirical Analysis of Discrete Unit Representations in Speech Language Modeling Pre-training

Yanis Labrak, Richard Dufour, Mickaël Rouvier

This paper investigates discrete unit representations in Speech Language Models (SLMs), focusing on optimizing speech modeling during continual pre-training. In this paper, we syst…

cs.CL2025

LFAR: Accounting for Layerwise Dynamics to Improve Multimodal Adaptation of Language Models

Santiago Cuervo, Adel Moumen, Yanis Labrak +5

Text-pretrained language models (LMs) encode rich world knowledge, but adapting them to process and generate perceptual modalities such as audio and images while effectively levera…