Conneau, Alexis

Unsupervised Cross-lingual Representation Learning at Scale

Conneau, A., Khandelwal, K., Goyal, N., Chaudhary, V., Wenzek, G., Guzmán, F., Grave, E., Ott, M., Zettlemoyer, L., & Stoyanov, V. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 5,637

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Conneau, A., Kiela, D., Schwenk, H., Barrault, L., & Bordes, A. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 2,049

Cross-lingual Language Model Pretraining

Lample, G., & Conneau, A. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,586

Very Deep Convolutional Networks for Text Classification

Conneau, A., Schwenk, H., Barrault, L., & Lecun, Y. (2017) · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers

Topic ModelingText and Document Classification Technologies

Cited by 1,046

What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties

Conneau, A., Kruszewski, G., Lample, G., Barrault, L., & Baroni, M. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 657

Unsupervised Cross-Lingual Representation Learning for Speech Recognition

Conneau, A., Baevski, A., Collobert, R., Mohamed, A., & Auli, M. (2021) · Interspeech 2021

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 637

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Babu, A., Wang, C., Tjandra, A., Lakhotia, K., Xu, Q., Goyal, N., Singh, K., von Platen, P., Saraf, Y., Pino, J., et al. (2022) · Interspeech 2022

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 586

Unsupervised Machine Translation Using Monolingual Corpora Only

Lample, G., Conneau, A., Denoyer, L., & Ranzato, M. (2017) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 584

SentEval: An Evaluation Toolkit for Universal Sentence Representations

Conneau, A., & Kiela, D. (2018) · arXiv

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 477

GPT-4o System Card

OpenAI, :, Hurst, A., Lerer, A., Goucher, A. P., Perelman, A., Ramesh, A., Clark, A., Ostrow, A., Welihinda, A., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 180

Scaling Speech Technology to 1, 000+ Languages

Pratap, V., Tjandra, A., Shi, B., Tomasello, P., Babu, A., Kundu, S., Elkahky, A., Ni, Z., Vyas, A., Fazel-Zarandi, M., et al. (2023) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 116

Scaling Laws for Generative Mixed-Modal Language Models

Aghajanyan, A., Yu, L., Conneau, A., Hsu, W.-N., Hambardzumyan, K., Zhang, S., Roller, S., Goyal, N., Levy, O., & Zettlemoyer, L. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 10