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Xander Davies
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2020 – today
- 2024
- [i6]Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, Zico Kolter, Matt Fredrikson, Eric Winsor, Jerome Wynne, Yarin Gal, Xander Davies:
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents. CoRR abs/2410.09024 (2024) - 2023
- [j1]Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell:
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. Trans. Mach. Learn. Res. 2023 (2023) - [c1]Trenton Bricken, Xander Davies, Deepak Singh, Dmitry Krotov, Gabriel Kreiman:
Sparse Distributed Memory is a Continual Learner. ICLR 2023 - [i5]Xander Davies, Lauro Langosco, David Krueger:
Unifying Grokking and Double Descent. CoRR abs/2303.06173 (2023) - [i4]Trenton Bricken, Xander Davies, Deepak Singh, Dmitry Krotov, Gabriel Kreiman:
Sparse Distributed Memory is a Continual Learner. CoRR abs/2303.11934 (2023) - [i3]Xander Davies, Max Nadeau, Nikhil Prakash, Tamar Rott Shaham, David Bau
:
Discovering Variable Binding Circuitry with Desiderata. CoRR abs/2307.03637 (2023) - [i2]Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell:
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. CoRR abs/2307.15217 (2023) - [i1]Maximilian Li, Xander Davies, Max Nadeau:
Circuit Breaking: Removing Model Behaviors with Targeted Ablation. CoRR abs/2309.05973 (2023)
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last updated on 2024-11-25 22:48 CET by the dblp team
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