69 citations
- United States Naval Research LaboratoryUS9 papers
- Intel (United States)US8 papers
- MIT Computer Science and Artificial Intelligence LaboratoryUS8 papers
- Goddard Space Flight CenterUS5 papers
- University of California, BerkeleyUS5 papers
- Institut national de recherche en sciences et technologies du numériqueFR4 papers
- Massachusetts Institute of TechnologyUS4 papers
- United States Naval ObservatoryUS4 papers
- Lawrence Berkeley National LaboratoryUS3 papers
- New Mexico Institute of Mining and TechnologyUS3 papers
- SeabrookUS3 papers
- Adobe Systems (United States)US2 papers
Showing cs.CLShow all
2 papers · 1 filter
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…
cs.CL2022★ 31 cited
SAMU-XLSR: Semantically-Aligned Multimodal Utterance-level Cross-Lingual Speech Representation
Sameer Khurana, Antoine Laurent, James Glass
We propose the SAMU-XLSR: Semantically-Aligned Multimodal Utterance-level Cross-Lingual Speech Representation learning framework. Unlike previous works on speech representation lea…