Követés
Collin Burns
Collin Burns
Researcher, OpenAI
E-mail megerősítve itt: openai.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Measuring Massive Multitask Language Understanding
D Hendrycks, C Burns, S Basart, A Zou, M Mazeika, D Song, J Steinhardt
ICLR 2021, 2020
11812020
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
5082021
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
3132021
Aligning AI with Shared Human Values
D Hendrycks*, C Burns*, S Basart, A Critch, J Li, D Song, J Steinhardt
ICLR 2021, 2020
2722020
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
1232021
Discovering latent knowledge in language models without supervision
C Burns, H Ye, D Klein, J Steinhardt
ICLR 2023, 2022
1202022
Interpreting Black Box Models via Hypothesis Testing
C Burns, J Thomason, W Tansey
ACM FODS 2020, 2020
53*2020
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
492023
Limitations of Post-Hoc Feature Alignment for Robustness
C Burns, J Steinhardt
CVPR 2021, 2021
262021
Streaming Complexity of SVMs
A Andoni, C Burns, Y Li, S Mahabadi, DP Woodruff
APPROX/RANDOM 2020, 2020
62020
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