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Thomas I. Liao
Thomas I. Liao
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning
TI Liao, R Taori, ID Raji, L Schmidt
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
652021
Data-efficient Learning of Morphology and Controller for a Microrobot
TI Liao, G Wang, B Yang, R Lee, K Pister, S Levine, R Calandra
2019 International Conference on Robotics and Automation (ICRA), 2488-2494, 2019
502019
The capacity for moral self-correction in large language models
D Ganguli, A Askell, N Schiefer, T Liao, K Lukošiūtė, A Chen, A Goldie, ...
arXiv preprint arXiv:2302.07459, 2023
472023
Towards measuring the representation of subjective global opinions in language models
E Durmus, K Nyugen, TI Liao, N Schiefer, A Askell, A Bakhtin, C Chen, ...
arXiv preprint arXiv:2306.16388, 2023
202023
Ecosystem graphs: The social footprint of foundation models
R Bommasani, D Soylu, TI Liao, KA Creel, P Liang
arXiv preprint arXiv:2303.15772, 2023
82023
Specific versus General Principles for Constitutional AI
S Kundu, Y Bai, S Kadavath, A Askell, A Callahan, A Chen, A Goldie, ...
arXiv preprint arXiv:2310.13798, 2023
12023
In a forward direction: Analyzing distribution shifts in machine translation test sets over time
TI Liao, B Recht, L Schmidt
http://www.gatsby.ucl.ac.uk/~balaji/udl2020/accepted-papers/UDL2020-paper …, 2020
12020
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