Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge. - Kingsley Kuan; Mathieu Ravaut; Gaurav Manek; Huiling Chen; Jie Lin 001; Babar Nazir; Cen Chen; Tse Chiang Howe; Zeng Zeng; Vijay Chandrasekhar 001 (CoRR, 2017)

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. - Zhe Wang 019; 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; et al. (CoRR, 2017)

ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs. - Aparna Balagopalan; Satya Gorti; Mathieu Ravaut; Raeid Saqur (CoRR, 2018)

Diabetes Mellitus Forecasting Using Population Health Data in Ontario, Canada. - Mathieu Ravaut; Hamed Sadeghi; Kin Kwan Leung; Maksims Volkovs; Laura C. Rosella (CoRR, 2019)

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; et al. (RecSys Challenge, 2020)

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)

SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization. - Mathieu Ravaut; Shafiq R. Joty; Nancy F. Chen (ACL (1), 2022)

Towards Summary Candidates Fusion. - Mathieu Ravaut; Shafiq R. Joty; Nancy F. Chen (EMNLP, 2022)

Unsupervised Summarization Re-ranking. - Mathieu Ravaut; Shafiq R. Joty; Nancy F. Chen (ACL (Findings), 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)

PromptSum: Parameter-Efficient Controllable Abstractive Summarization. - Mathieu Ravaut; Hailin Chen; Ruochen Zhao; Chengwei Qin; Shafiq Joty; Nancy F. Chen (CoRR, 2023)

On Position Bias in Summarization with Large Language Models. - Mathieu Ravaut; Shafiq Joty; Aixin Sun; Nancy F. Chen (CoRR, 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 Context Utilization in Summarization with Large Language Models. - Mathieu Ravaut; Aixin Sun; Nancy F. Chen; Shafiq Joty (ACL (1), 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 (EACL (1), 2024)

Parameter-Efficient Conversational Recommender System as a Language Processing Task. - Mathieu Ravaut; Hao Zhang 048; Lu Xu; Aixin Sun; Yong Liu 020 (EACL (1), 2024)

How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library. - Mathieu Ravaut; Bosheng Ding; Fangkai Jiao; Hailin Chen; Xingxuan Li; Ruochen Zhao; Chengwei Qin; Caiming Xiong; Shafiq Joty (CoRR, 2024)

Enriching Datasets with Demographics through Large Language Models: What's in a Name? - Khaled AlNuaimi; Gautier Marti; Mathieu Ravaut; Abdulla AlKetbi; Andreas Henschel; Ra'ed M. Jaradat (CoRR, 2024)

StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs. - Hailin Chen; Fangkai Jiao; Mathieu Ravaut; Nawshad Farruque; Xuan-Phi Nguyen; Chengwei Qin; Manan Dey; Bosheng Ding; Caiming Xiong; Shafiq Joty; Yingbo Zhou (CoRR, 2024)

A Comprehensive Survey of Contamination Detection Methods in Large Language Models. - Mathieu Ravaut; Bosheng Ding; Fangkai Jiao; Hailin Chen; Xingxuan Li; Ruochen Zhao; Chengwei Qin; Caiming Xiong; Shafiq Joty (Trans. Mach. Learn. Res., 2025)