Collin Burns

2600

1300

650

1950

2020202120222023202413 111 269 1164 2541

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Jacob SteinhardtStanford UniversityVerified email at cs.stanford.edu
Dan HendrycksDirector of the Center for AI SafetyVerified email at berkeley.edu
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Andy ZouPhD Student, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Jerry LiMicrosoft ResearchVerified email at microsoft.com
Jesse ThomasonAssistant Professor, University of Southern CaliforniaVerified email at usc.edu
Jeffrey WuOpenAIVerified email at openai.com
Ilya SutskeverCo-Founder and Chief Scientist of OpenAIVerified email at openai.com
Pavel IzmailovAnthropic; NYUVerified email at anthropic.com
Jan LeikeOpenAIVerified email at openai.com
Alexandr AndoniAssociate Professor, Columbia UniversityVerified email at mit.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Collin Burns

Researcher, OpenAI

Verified email at openai.com - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Measuring Massive Multitask Language Understanding D Hendrycks, C Burns, S Basart, A Zou, M Mazeika, D Song, J Steinhardt ICLR 2021, 2020	1955	2020
Measuring Mathematical Problem Solving With the MATH Dataset D Hendrycks, C Burns, S Kadavath, A Arora, S Basart, E Tang, D Song, ... NeurIPS 2021 Datasets and Benchmarks Track, 2021	803	2021
Measuring Coding Challenge Competence With APPS D Hendrycks, S Basart, S Kadavath, M Mazeika, A Arora, E Guo, C Burns, ... NeurIPS 2021 Datasets and Benchmarks Track, 2021	439	2021
Aligning AI with Shared Human Values D Hendrycks, C Burns, S Basart, A Critch, J Li, D Song, J Steinhardt ICLR 2021, 2020	378	2020
Discovering latent knowledge in language models without supervision C Burns, H Ye, D Klein, J Steinhardt ICLR 2023, 2022	181	2022
CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review D Hendrycks, C Burns, A Chen, S Ball NeurIPS 2021 Datasets and Benchmarks Track, 2021	154	2021
Weak-to-strong generalization: Eliciting strong capabilities with weak supervision C Burns, P Izmailov, JH Kirchner, B Baker, L Gao, L Aschenbrenner, ... ICML 2024, 2023	115	2023
Interpreting Black Box Models via Hypothesis Testing C Burns, J Thomason, W Tansey ACM FODS 2020, 2020	58*	2020
Limitations of Post-Hoc Feature Alignment for Robustness C Burns, J Steinhardt CVPR 2021, 2021	29	2021
Streaming Complexity of SVMs A Andoni, C Burns, Y Li, S Mahabadi, DP Woodruff APPROX/RANDOM 2020, 2020	6	2020

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