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Mathieu Ravaut
Mathieu Ravaut
NTU
Verified email at e.ntu.edu.sg - Homepage
Title
Cited by
Cited by
Year
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge
K Kuan, M Ravaut, G Manek, H Chen, J Lin, B Nazir, C Chen, TC Howe, ...
arXiv, 2017
1032017
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization
M Ravaut, S Joty, NF Chen
ACL 2022, 2022
662022
Deep Learning Applied to Underwater Mine Warfare
K Denos, M Ravaut, A Fagette, HS Lim
IEEE OCEANS 2017, 2017
642017
Predicting Adverse Outcomes Due to Diabetes Complications with Machine Learning Using Administrative Health Data
M Ravaut, H Sadeghi, KK Leung, M Volkovs, K Kornas, V Harish, ...
Nature npj Digital Medicine 2021, 2021
532021
Development and Validation of a Machine Learning Model Using Administrative Health Data to Predict Onset of Type 2 Diabetes
M Ravaut, V Harish, H Sadeghi, KK Leung, M Volkovs, K Kornas, ...
JAMA Network Open 2021, 2021
432021
Truly Multi-Modal YouTube-8m Video Classification with Video, Audio, and Text
Z Wang, K Kuan, M Ravaut, G Manek, S Song, Y Fang, S Kim, N Chen, ...
CVPR 2017 Workshop on Large-Scale YouTube-8M Video Understanding, 2017
262017
ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?
H Chen, F Jiao, X Li, C Qin, M Ravaut, R Zhao, C Xiong, S Joty
arXiv preprint arXiv:2311.16989, 2023
152023
Towards Summary Candidates Fusion
M Ravaut, S Joty, NF Chen
EMNLP 2022, 2022
102022
Diabetes Mellitus Forecasting Using Population Health Data in Ontario, Canada
M Ravaut, H Sadeghi, KK Leung, M Volkovs, LC Rosella
arXiv, 2019
72019
Predicting Twitter Engagement with Deep Language Models
M Volkovs, Z Cheng, M Ravaut, H Yang, K Shen, JP Zhou, A Wong, ...
ACM RecSys 2020 Workshop on RecSys Challenge, 2020
62020
Gradient Descent Revisited via an Adaptive Online Learning Rate
M Ravaut, S Gorti
arXiv, 2018
62018
Predicting Hospitalizations Related to Ambulatory Care Sensitive Conditions with Machine Learning for Population Health Planning: Derivation and Validation Cohort Study
SE Yi, V Harish, JMG Bugarin, M Ravaut, K Kornas, T Watson, T Poutanen, ...
BMJ Open 2022, 2021
32021
On Position Bias in Summarization with Large Language Models
M Ravaut, S Joty, A Sun, NF Chen
arXiv preprint arXiv:2310.10570, 2023
22023
PromptSum: Parameter-Efficient Controllable Abstractive Summarization
M Ravaut, H Chen, R Zhao, C Qin, S Joty, N Chen
arXiv, 2023
22023
System and Method for Dynamically Predicting Fraud Using Machine Learning
XS Huang, S Aziz, JFP Vallejo, JC Bouëtté, J Bouchard, MJR Ravaut, ...
US Patent App. 17/207,221, 2022
22022
ReGAN: Re [lax| bar| inforce] Based Sequence Generation Using GANs
A Balagopalan, S Gorti, M Ravaut, R Saqur
arXiv, 2018
22018
On Context Utilization in Summarization with Large Language Models
M Ravaut, S Joty, A Sun, NF Chen
arXiv e-prints, arXiv: 2310.10570, 2023
12023
Unsupervised Summarization Re-ranking
M Ravaut, S Joty, N Chen
ACL Findings 2023, 2022
12022
Regularization of Recurrent Machine-Learned Architectures
M Volkovs, M Ravaut, KK Leung, H Sadeghi
US Patent App. 16/435,213, 2020
12020
How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library
M Ravaut, B Ding, F Jiao, H Chen, X Li, R Zhao, C Qin, C Xiong, S Joty
arXiv preprint arXiv:2404.00699, 2024
2024
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