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2020 – today
- 2024
[c7]Mathieu Ravaut, Aixin Sun, Nancy F. Chen, Shafiq Joty:
On Context Utilization in Summarization with Large Language Models. ACL (1) 2024: 2764-2781- [c6]Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu:
Parameter-Efficient Conversational Recommender System as a Language Processing Task. EACL (1) 2024: 152-165 - [c5]Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari:
LOCOST: State-Space Models for Long Document Abstractive Summarization. EACL (1) 2024: 1144-1159 - [i15]Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu:
Parameter-Efficient Conversational Recommender System as a Language Processing Task. CoRR abs/2401.14194 (2024) - [i14]Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari:
LOCOST: State-Space Models for Long Document Abstractive Summarization. CoRR abs/2401.17919 (2024) - [i13]Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty:
How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library. CoRR abs/2404.00699 (2024) - [i12]Khaled AlNuaimi, Gautier Marti, Mathieu Ravaut, Abdulla AlKetbi, Andreas Henschel, Ra'ed M. Jaradat:
Enriching Datasets with Demographics through Large Language Models: What's in a Name? CoRR abs/2409.11491 (2024) - 2023
- [c4]Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen:
Unsupervised Summarization Re-ranking. ACL (Findings) 2023: 8341-8376 - [i11]Iva Bojic, Josef Halim, Verena Suharman, Sreeja Tar, Qi Chwen Ong, Duy Phung, Mathieu Ravaut, Shafiq Joty, Josip Car:
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets. CoRR abs/2304.00483 (2023) - [i10]Mathieu Ravaut, Hailin Chen, Ruochen Zhao, Chengwei Qin, Shafiq Joty, Nancy F. Chen
:
PromptSum: Parameter-Efficient Controllable Abstractive Summarization. CoRR abs/2308.03117 (2023) - [i9]Mathieu Ravaut, Shafiq Joty, Aixin Sun, Nancy F. Chen:
On Position Bias in Summarization with Large Language Models. CoRR abs/2310.10570 (2023) - [i8]Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Ruochen Zhao, Caiming Xiong, Shafiq Joty:
ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up? CoRR abs/2311.16989 (2023) - 2022
- [c3]Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen:
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization. ACL (1) 2022: 4504-4524 - [c2]Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen:
Towards Summary Candidates Fusion. EMNLP 2022: 8488-8504 - [i7]Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen:
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization. CoRR abs/2203.06569 (2022) - [i6]Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen:
Towards Summary Candidates Fusion. CoRR abs/2210.08779 (2022) - [i5]Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen:
Unsupervised Summarization Re-ranking. CoRR abs/2212.09593 (2022) - 2021
- [j1]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:
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data. npj Digit. Medicine 4 (2021) - 2020
- [c1]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:
Predicting Twitter Engagement With Deep Language Models. RecSys Challenge 2020: 38-43
2010 – 2019
- 2019
- [i4]Mathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung, Maksims Volkovs, Laura C. Rosella:
Diabetes Mellitus Forecasting Using Population Health Data in Ontario, Canada. CoRR abs/1904.04137 (2019) - 2018
- [i3]Aparna Balagopalan, Satya Gorti, Mathieu Ravaut, Raeid Saqur:
ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs. CoRR abs/1805.02788 (2018) - 2017
- [i2]Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen, Jie Lin, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar:
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge. CoRR abs/1705.09435 (2017) - [i1]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:
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. CoRR abs/1706.05461 (2017)
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