activity
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

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.CL2024

Zero-Shot End-To-End Spoken Question Answering In Medical Domain

Yanis Labrak, Adel Moumen, Richard Dufour +1

In the rapidly evolving landscape of spoken question-answering (SQA), the integration of large language models (LLMs) has emerged as a transformative development. Conventional appr…

cs.CL2024

Synthetic Lyrics Detection Across Languages and Genres

Yanis Labrak, Markus Frohmann, Gabriel Meseguer-Brocal +1

In recent years, the use of large language models (LLMs) to generate music content, particularly lyrics, has gained in popularity. These advances provide valuable tools for artists…

cs.CL2024

DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain

Yanis Labrak, Adrien Bazoge, Oumaima El Khettari +8

The biomedical domain has sparked a significant interest in the field of Natural Language Processing (NLP), which has seen substantial advancements with pre-trained language models…

cs.CL2024

How Important Is Tokenization in French Medical Masked Language Models?

Yanis Labrak, Adrien Bazoge, Beatrice Daille +2

Subword tokenization has become the prevailing standard in the field of natural language processing (NLP) over recent years, primarily due to the widespread utilization of pre-trai…

cs.CL2024

BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains

Yanis Labrak, Adrien Bazoge, Emmanuel Morin +3

Large Language Models (LLMs) have demonstrated remarkable versatility in recent years, offering potential applications across specialized domains such as healthcare and medicine. D…