Collin Burns - RankMe

22 papers A* 5Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Chunky Post-Training: Data Driven Failures of Generalization. CoRR Seoirse Murray, Allison Qi, Timothy Qian, John Schulman, Collin Burns, Sara Price
2025	J	`jnl`	Unsupervised Elicitation of Language Models. CoRR Jiaxin Wen, Zachary Ankner, Arushi Somani, Peter Hase, Samuel Marks, Jacob Goldman-Wetzler, Linda Petrini, Henry Sleight, Collin Burns, He He, Shi Feng, Ethan Perez, Jan Leike
2024	A*	`conf`	Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision. ICML Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker, Leo Gao, Leopold Aschenbrenner, Yining Chen, Adrien Ecoffet, Manas Joglekar, Jan Leike, Ilya Sutskever, Jeffrey Wu
2023	A*	`conf`	Discovering Latent Knowledge in Language Models Without Supervision. ICLR Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt
2023	J	`jnl`	Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision. CoRR Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker, Leo Gao, Leopold Aschenbrenner, Yining Chen, Adrien Ecoffet, Manas Joglekar, Jan Leike, Ilya Sutskever, Jeff Wu
2022	J	`jnl`	Discovering Latent Knowledge in Language Models Without Supervision. CoRR Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt
2021	A*	`conf`	Aligning AI With Shared Human Values. ICLR Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt
2021	—	`conf`	CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review. NeurIPS Datasets and Benchmarks Dan Hendrycks, Collin Burns, Anya Chen, Spencer Ball
2021	J	`jnl`	CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review. CoRR Dan Hendrycks, Collin Burns, Anya Chen, Spencer Ball
2021	A*	`conf`	Limitations of Post-Hoc Feature Alignment for Robustness. CVPR Collin Burns, Jacob Steinhardt
2021	J	`jnl`	Limitations of Post-Hoc Feature Alignment for Robustness. CoRR Collin Burns, Jacob Steinhardt
2021	—	`conf`	Measuring Coding Challenge Competence With APPS. NeurIPS Datasets and Benchmarks Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, Jacob Steinhardt
2021	J	`jnl`	Measuring Coding Challenge Competence With APPS. CoRR Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, Jacob Steinhardt
2021	A*	`conf`	Measuring Massive Multitask Language Understanding. ICLR Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, Jacob Steinhardt
2021	—	`conf`	Measuring Mathematical Problem Solving With the MATH Dataset. NeurIPS Datasets and Benchmarks Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, Jacob Steinhardt
2021	J	`jnl`	Measuring Mathematical Problem Solving With the MATH Dataset. CoRR Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, Jacob Steinhardt
2020	J	`jnl`	Aligning AI With Shared Human Values. CoRR Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt
2020	—	`conf`	Interpreting Black Box Models via Hypothesis Testing. FODS Collin Burns, Jesse Thomason, Wesley Tansey
2020	J	`jnl`	Measuring Massive Multitask Language Understanding. CoRR Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, Jacob Steinhardt
2020	—	`conf`	Streaming Complexity of SVMs. APPROX-RANDOM Alexandr Andoni, Collin Burns, Yi Li, Sepideh Mahabadi, David P. Woodruff
2020	J	`jnl`	Streaming Complexity of SVMs. CoRR Alexandr Andoni, Collin Burns, Yi Li, Sepideh Mahabadi, David P. Woodruff
2019	J	`jnl`	Interpreting Black Box Models with Statistical Guarantees. CoRR Collin Burns, Jesse Thomason, Wesley Tansey