Mathieu Ravaut

According to our database, Mathieu Ravaut authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Parameter-Efficient Conversational Recommender System as a Language Processing Task.

Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

LOCOST: State-Space Models for Long Document Abstractive Summarization.

Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?

Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Ruochen Zhao, Caiming Xiong, Shafiq Joty

CoRR, 2023

On Position Bias in Summarization with Large Language Models.

Mathieu Ravaut, Shafiq Joty, Aixin Sun, Nancy F. Chen

CoRR, 2023

PromptSum: Parameter-Efficient Controllable Abstractive Summarization.

Mathieu Ravaut, Hailin Chen, Ruochen Zhao, Chengwei Qin, Shafiq Joty, Nancy F. Chen

CoRR, 2023

A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets.

Iva Bojic, Josef Halim, Verena Suharman, Sreeja Tar, Qi Chwen Ong, Duy Phung, Mathieu Ravaut, Shafiq Joty, Josip Car

CoRR, 2023

Unsupervised Summarization Re-ranking.

Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Towards Summary Candidates Fusion.

Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization.

Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data.

Mathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung, Maksims Volkovs, Kathy Kornas, Vinyas Harish, Tristan Watson, Gary F. Lewis, Alanna Weisman, Tomi Poutanen, Laura C. Rosella

npj Digit. Medicine, 2021

2020

Predicting Twitter Engagement With Deep Language Models.

Maksims Volkovs, Zhaoyue Cheng, Mathieu Ravaut, Hojin Yang, Kevin Shen, Jin Peng Zhou, Anson Wong, Saba Zuberi, Ivan Zhang, Nick Frosst, Helen Ngo, Carol Chen, Bharat Venkitesh, Stephen Gou, Aidan N. Gomez

Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020

2019

Diabetes Mellitus Forecasting Using Population Health Data in Ontario, Canada.

Mathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung, Maksims Volkovs, Laura C. Rosella

CoRR, 2019

2018

ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs.

Aparna Balagopalan, Satya Gorti, Mathieu Ravaut, Raeid Saqur

CoRR, 2018

2017

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text.

Zhe Wang, Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Sibo Song, Fang Yuan, Kim Seokhwan, Nancy F. Chen, Luis Fernando D'Haro, Anh Tuan Luu, Hongyuan Zhu, Zeng Zeng, Ngai-Man Cheung, Georgios Piliouras, Jie Lin, Vijay Chandrasekhar

CoRR, 2017

Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge.

Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen, Jie Lin, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar

CoRR, 2017