Lawrence Chan

According to our database, Lawrence Chan authored at least 19 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Language Models Are Better Than Humans at Next-token Prediction.

Buck Shlegeris, Fabien Roger, Lawrence Chan, Euan McLean

Trans. Mach. Learn. Res., 2024

Modular addition without black-boxes: Compressing explanations of MLPs that compute numerical integration.

Chun Hei Yip, Rajashree Agrawal, Lawrence Chan, Jason Gross

CoRR, 2024

RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts.

Hjalmar Wijk, Tao Lin, Joel Becker, Sami Jawhar, Neev Parikh, Thomas Broadley, Lawrence Chan, Michael Chen, Josh 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

CoRR, 2024

Mathematical Models of Computation in Superposition.

Kaarel Hänni, Jake Mendel, Dmitry Vaintrob, Lawrence Chan

CoRR, 2024

Compact Proofs of Model Performance via Mechanistic Interpretability.

Jason Gross, Rajashree Agrawal, Thomas Kwa, Euan Ong, Chun Hei Yip, Alex Gibson, Soufiane Noubir, Lawrence Chan

CoRR, 2024

The Alignment Problem from a Deep Learning Perspective.

Richard Ngo, Lawrence Chan, Sören Mindermann

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Evaluating Language-Model Agents on Realistic Autonomous Tasks.

Megan Kinniment, Lucas Jun Koba Sato, Haoxing Du, Brian Goodrich, Max Hasin, Lawrence Chan, Luke Harold Miles, Tao R. Lin, Hjalmar Wijk, Joel Burget, Aaron Ho, Elizabeth Barnes, Paul F. Christiano

CoRR, 2023

A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations.

Bilal Chughtai, Lawrence Chan, Neel Nanda

Proceedings of the International Conference on Machine Learning, 2023

Progress measures for grokking via mechanistic interpretability.

Neel Nanda, Lawrence Chan, Tom Lieberum, Jess Smith, Jacob Steinhardt

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Adversarial training for high-stakes reliability.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Human irrationality: both bad and good for reward inference.

Lawrence Chan, Andrew Critch, Anca D. Dragan

CoRR, 2021

Optimal Cost Design for Model Predictive Control.

Avik Jain, Lawrence Chan, Daniel S. Brown, Anca D. Dragan

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

A Fast-Processing Pipeline for Three-dimensional Visualization of Acute Ischemic Stroke lesion topography.

Huiling Shao, Lawrence Chan, Fiona Chen, Qilin Ma, Zhiyu Shao, Heng Du

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Accounting for Human Learning when Inferring Human Preferences.

Harry Giles, Lawrence Chan

CoRR, 2020

2019

The Assistive Multi-Armed Bandit.

Lawrence Chan, Dylan Hadfield-Menell, Siddhartha S. Srinivasa, Anca D. Dragan

Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

2012

Clinical Decision Support using Traditional Chinese Medicine (TCM) Ontology and Text Similarity.

Meyrick Chow, Lawrence Chan

Proceedings of the Nursing Informatics 2014 - East Meets West eSMART+, 2012

2010

Development and evaluation of a compartmental picture archiving and communications system model for integration and visualization of multidisciplinary biomedical data to facilitate student learning in an integrative health clinic.

Meyrick Chow, Lawrence Chan

Comput. Educ., 2010

2007

The role of a Data Grid in worldwide imaging-based clinical trials.

Zheng Zhou, Marco A. Gutierrez, Jorge Documet, Lawrence Chan, H. K. Huang, Brent J. Liu

J. High Speed Networks, 2007

International Internet2 connectivity and performance in medical imaging applications: Bridging the Americas to Asia.

Brent J. Liu, Zheng Zhou, Marco A. Gutierrez, Jorge Documet, Lawrence Chan, H. K. Huang

J. High Speed Networks, 2007