Mathieu Ravaut

27 papers A* 1Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Comprehensive Survey of Contamination Detection Methods in Large Language Models. Trans. Mach. Learn. Res. Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	Interpreting LLMs as Credit Risk Classifiers: Do Their Feature Explanations Align with Classical ML? CoRR Saeed AlMarri, Kristof Juhasz, Mathieu Ravaut, Gautier Marti, Hamdan Al Ahbabi, Ibrahim M. Elfadel
2025	J	`jnl`	Measuring What LLMs Think They Do: SHAP Faithfulness and Deployability on Financial Tabular Classification. CoRR Saeed AlMarri, Mathieu Ravaut, Kristof Juhasz, Gautier Marti, Hamdan Al Ahbabi, Ibrahim M. Elfadel
2024	J	`jnl`	Enriching Datasets with Demographics through Large Language Models: What's in a Name? CoRR Khaled AlNuaimi, Gautier Marti, Mathieu Ravaut, Abdulla AlKetbi, Andreas Henschel, Ra'ed M. Jaradat
2024	J	`jnl`	How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library. CoRR Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty
2024	—	`conf`	LOCOST: State-Space Models for Long Document Abstractive Summarization. EACL (1) Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
2024	J	`jnl`	LOCOST: State-Space Models for Long Document Abstractive Summarization. CoRR Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
2024	—	`conf`	On Context Utilization in Summarization with Large Language Models. ACL (1) Mathieu Ravaut, Aixin Sun, Nancy F. Chen, Shafiq Joty
2024	—	`conf`	Parameter-Efficient Conversational Recommender System as a Language Processing Task. EACL (1) Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu
2024	J	`jnl`	Parameter-Efficient Conversational Recommender System as a Language Processing Task. CoRR Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu
2024	J	`jnl`	StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs. CoRR Hailin Chen, Fangkai Jiao, Mathieu Ravaut, Nawshad Farruque, Xuan-Phi Nguyen, Chengwei Qin, Manan Dey, Bosheng Ding, Caiming Xiong, Shafiq Joty, Yingbo Zhou
2023	J	`jnl`	A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets. CoRR Iva Bojic, Josef Halim, Verena Suharman, Sreeja Tar, Qi Chwen Ong, Duy Phung, Mathieu Ravaut, Shafiq Joty, Josip Car
2023	J	`jnl`	ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up? CoRR Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Ruochen Zhao, Caiming Xiong, Shafiq Joty
2023	J	`jnl`	On Position Bias in Summarization with Large Language Models. CoRR Mathieu Ravaut, Shafiq Joty, Aixin Sun, Nancy F. Chen
2023	J	`jnl`	PromptSum: Parameter-Efficient Controllable Abstractive Summarization. CoRR Mathieu Ravaut, Hailin Chen, Ruochen Zhao, Chengwei Qin, Shafiq Joty, Nancy F. Chen
2023	—	`conf`	Unsupervised Summarization Re-ranking. ACL (Findings) Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen
2022	—	`conf`	SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization. ACL (1) Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen
2022	J	`jnl`	SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization. CoRR Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen
2022	A*	`conf`	Towards Summary Candidates Fusion. EMNLP Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen
2022	J	`jnl`	Towards Summary Candidates Fusion. CoRR Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen
2022	J	`jnl`	Unsupervised Summarization Re-ranking. CoRR Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen
2021	J	`jnl`	Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data. npj Digit. Medicine 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
2020	—	`conf`	Predicting Twitter Engagement With Deep Language Models. RecSys Challenge 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
2019	J	`jnl`	Diabetes Mellitus Forecasting Using Population Health Data in Ontario, Canada. CoRR Mathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung, Maksims Volkovs, Laura C. Rosella
2018	J	`jnl`	ReGAN: RE[LAX\|BAR\|INFORCE] based Sequence Generation using GANs. CoRR Aparna Balagopalan, Satya Gorti, Mathieu Ravaut, Raeid Saqur
2017	J	`jnl`	Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge. CoRR Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen, Jie Lin, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar
2017	J	`jnl`	Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. CoRR 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