Ryan Lowe

Faculty

Multimodal Machine Learning ApplicationsNatural Language Processing TechniquesSpeech and dialogue systemsTopic Modeling

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Early days

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About

Ryan Lowe is a Computer Science scholar at Harvard University. Research spans Multimodal Machine Learning Applications, Natural Language Processing Techniques, Speech and dialogue systems. 34 works, 7.8k citations (h-index 23).

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Affiliation on publications · Harvard University

Most-cited work

2022

Training Language Models to Follow Instructions with Human Feedback

Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, Ryan Lowe

1.3k

cites

2017

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch

arXiv (Cornell University) OA

cites

2016

How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation

Chia‐Wei Liu, Ryan Lowe, Iulian Vlad Serban, Mike Noseworthy, Laurent Charlin, Joëlle Pineau

938

cites