Jane Yu
RESEARCH SCIENTIST | NEW YORK CITY, UNITED STATES
Jane Dwivedi-Yu is a researcher at Meta AI. Her current research focuses on improving reasoning and tool usage capabilities of large language models, and evaluating representation harms and notions of morality and norms internalized by these models. Before joining Meta, she completed her PhD in Computer Science at University of California, Berkeley and Bachelors at Cornell University.
Research Areas
Jane's Work
Jane's Publications
February 22, 2024
NLP
Toolformer: Language Models Can Teach Themselves to Use Tools
Timo Schick, Jane Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
February 22, 2024
November 06, 2023
CONVERSATIONAL AI
NLP
ROBBIE: Robust Bias Evaluation of Large Generative Language Models
David Esiobu, Ellen Tan, Saghar Hosseini, Megan Ung, Yuchen Zhang, Jude Fernandes, Jane Yu, Eleonora Presani, Adina Williams, Eric Smith
November 06, 2023
July 06, 2023
HUMAN & MACHINE INTELLIGENCE
REINFORCEMENT LEARNING
Augmented Language Models: a Survey
Gregoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ram Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom
July 06, 2023
December 06, 2022
December 06, 2022
August 24, 2022
PEER: A Collaborative Language Model
Timo Schick, Christoforos Nalmpantis, Edouard Grave, Fabio Petroni, Gautier Izacard, Jane Dwivedi-Yu, Patrick Lewis, Qingfei You, Sebastian Riedel, Zhengbao Jiang
August 24, 2022
June 25, 2022
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
Jane Yu, Alon Halevy, Luke Zettlemoyer, Madian Khabsa, Belinda Li, Jacob Andreas
June 25, 2022
May 29, 2022
The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems
Jane Yu, Alon Halevy, Yi-Chia Wang, Caleb Ziems, Diyi Yang
May 29, 2022
April 25, 2022
Understanding Conflicts in Online Conversations
Yi-Chia Wang, Jane Yu, Kristen Altenburger, Robert Kraut, Sharon Levy
April 25, 2022
January 01, 2022
January 01, 2022
Foundational models
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Foundational models
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