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20242026
most citedProbing the Information Encoded in Neural-based Acoustic Models of Automatic Speech Recognition Systems

2 citations · 3 across the 12 of their papers we have counts for

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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.SD2024★ 2 cited

Probing the Information Encoded in Neural-based Acoustic Models of Automatic Speech Recognition Systems

Quentin Raymondaud, Mickael Rouvier, Richard Dufour

Deep learning architectures have made significant progress in terms of performance in many research areas. The automatic speech recognition (ASR) field has thus benefited from thes…

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…