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ORCIDTao Roa Lin
Person information
- affiliation: Model Evaluation & Threat Research (METR)
- affiliation (2020 - 2022): Redwood Research
Other persons with the same name
- Tao Lin — disambiguation page
- Tao Lin 0001
![[0000-0003-1170-636X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1170-636X")
— Communication University of China, State Key Laboratory of Media Convergence and Communication, Beijing, China (and 2 more) - Tao Lin 0002 — University of Melbourne, Australia
- Tao Lin 0003 — Virginia Tech, Blacksburg, VA, USA
- Tao Lin 0004 — EPFL, Lausanne, Switzerland
- Tao Lin 0005 — Tongji University, College of Electronics and Information Engineering, Shanghai, China (and 2 more)
- Tao Lin 0006 — Waseda University, Tokyo, Japan (and 1 more)
- Tao Lin 0007 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
- Tao Lin 0008 — Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China (and 2 more)
- Tao Lin 0009 — CAS Institute of Urban Environment, Key Lab of Urban Environment and Health, Xiamen, China
- Tao Lin 0010 — Amitive Inc., Redwood City, CA, USA
- Tao Lin 0011 — Shanghai Jiao Tong University, Welding Engineering Institute of Material Science and Engineering, China
- Tao Lin 0012 — University of Regina, Department of Computer Science, SK, Canada
- Tao Lin 0013 — Harvard University, Cambridge, MA, USA
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2020 – today
- 2025
[c2]Hjalmar Wijk, Tao Roa Lin, Joel Becker, Sami Jawhar, Neev Parikh, Thomas Broadley, Lawrence Chan, Michael Chen, Joshua Clymer, Jai Dhyani, Elena Ericheva, Katharyn Garcia, Brian Goodrich, Nikola Jurkovic, Megan Kinniment, Aron Lajko, Seraphina Nix, Lucas Jun Koba Sato, William Saunders, Maksym Taran, Ben West, Elizabeth Barnes:
RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts. ICML 2025- [i4]Thomas Kwa, Ben West, Joel Becker, Amy Deng, Katharyn Garcia, Max Hasin, Sami Jawhar, Megan Kinniment, Nate Rush, Sydney von Arx, Ryan Bloom, Thomas Broadley, Haoxing Du, Brian Goodrich, Nikola Jurkovic, Luke Harold Miles, Seraphina Nix, Tao Lin, Neev Parikh, David Rein, Lucas Jun Koba Sato, Hjalmar Wijk, Daniel M. Ziegler, Elizabeth Barnes, Lawrence Chan:
Measuring AI Ability to Complete Long Tasks. CoRR abs/2503.14499 (2025) - 2024
- [i3]Hjalmar Wijk, Tao Lin, Joel Becker, Sami Jawhar, Neev Parikh, Thomas Broadley, Lawrence Chan, Michael Chen, Joshua Clymer, Jai Dhyani, Elena Ericheva, Katharyn Garcia, Brian Goodrich, Nikola Jurkovic, Megan Kinniment, Aron Lajko, Seraphina Nix, Lucas Sato, William Saunders, Maksym Taran, Ben West, Elizabeth Barnes:
RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts. CoRR abs/2411.15114 (2024) - 2023
- [i2]Megan Kinniment, Lucas Jun Koba Sato, Haoxing Du, Brian Goodrich, Max Hasin, Lawrence Chan, Luke Harold Miles, Tao Roa Lin, Hjalmar Wijk, Joel Burget, Aaron Ho, Elizabeth Barnes, Paul F. Christiano:
Evaluating Language-Model Agents on Realistic Autonomous Tasks. CoRR abs/2312.11671 (2023) - 2022
- [c1]Daniel M. Ziegler, Seraphina Nix, Lawrence Chan, Tim Bauman, Peter Schmidt-Nielsen, Tao Lin, Adam Scherlis, Noa Nabeshima, Ben Weinstein-Raun, Daniel de Haas, Buck Shlegeris, Nate Thomas:
Adversarial training for high-stakes reliability. NeurIPS 2022 - [i1]Daniel M. Ziegler, Seraphina Nix, Lawrence Chan, Tim Bauman, Peter Schmidt-Nielsen, Tao Lin, Adam Scherlis, Noa Nabeshima, Ben Weinstein-Raun, Daniel de Haas, Buck Shlegeris, Nate Thomas:
Adversarial Training for High-Stakes Reliability. CoRR abs/2205.01663 (2022)
Coauthor Index
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