Jérémy Scheurer

22 papers A* 1Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Forecasting Frontier Language Model Agent Capabilities.
CoRR
Govind Pimpale, Axel Højmark, Jérémy Scheurer, Marius Hobbhahn
2025 J jnl
Stress Testing Deliberative Alignment for Anti-Scheming Training.
CoRR
Bronson Schoen, Evgenia Nitishinskaya, Mikita Balesni, Axel Højmark, Felix Hofstätter, Jérémy Scheurer, Alexander Meinke, Jason Wolfe, Teun van der Weij, Alex Lloyd, Nicholas Goldowsky-Dill, Angela Fan, Andrei Matveiakin, Rusheb Shah, Marcus Williams, Amelia Glaese, Boaz Barak, Wojciech Zaremba, Marius Hobbhahn
2024 J jnl
Analyzing Probabilistic Methods for Evaluating Agent Capabilities.
CoRR
Axel Højmark, Govind Pimpale, Arjun Panickssery, Marius Hobbhahn, Jérémy Scheurer
2024 — conf
Black-Box Access is Insufficient for Rigorous AI Audits.
FAccT
Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas A. Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell
2024 J jnl
Black-Box Access is Insufficient for Rigorous AI Audits.
CoRR
Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas Alexander Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell
2024 J jnl
Frontier Models are Capable of In-context Scheming.
CoRR
Alexander Meinke, Bronson Schoen, Jérémy Scheurer, Mikita Balesni, Rusheb Shah, Marius Hobbhahn
2024 J jnl
Learning from Natural Language Feedback.
Trans. Mach. Learn. Res.
Angelica Chen, Jérémy Scheurer, Jon Ander Campos, Tomasz Korbak, Jun Shern Chan, Samuel R. Bowman, Kyunghyun Cho, Ethan Perez
2024 A* conf
Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs.
NeurIPS
Rudolf Laine, Bilal Chughtai, Jan Betley, Kaivalya Hariharan, Mikita Balesni, Jérémy Scheurer, Marius Hobbhahn, Alexander Meinke, Owain Evans
2024 J jnl
Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs.
CoRR
Rudolf Laine, Bilal Chughtai, Jan Betley, Kaivalya Hariharan, Jérémy Scheurer, Mikita Balesni, Marius Hobbhahn, Alexander Meinke, Owain Evans
2024 J jnl
Towards evaluations-based safety cases for AI scheming.
CoRR
Mikita Balesni, Marius Hobbhahn, David Lindner, Alexander Meinke, Tomek Korbak, Joshua Clymer, Buck Shlegeris, Jérémy Scheurer, Charlotte Stix, Rusheb Shah, Nicholas Goldowsky-Dill, Dan Braun, Bilal Chughtai, Owain Evans, Daniel Kokotajlo, Lucius Bushnaq
2024 J jnl
TracrBench: Generating Interpretability Testbeds with Large Language Models.
CoRR
Hannes Thurnherr, Jérémy Scheurer
2023 — conf
Few-shot Adaptation Works with UnpredicTable Data.
ACL (1)
Jun Shern Chan, Michael Pieler, Jonathan Jao, Jérémy Scheurer, Ethan Perez
2023 J jnl
Improving Code Generation by Training with Natural Language Feedback.
CoRR
Angelica Chen, Jérémy Scheurer, Tomasz Korbak, Jon Ander Campos, Jun Shern Chan, Samuel R. Bowman, Kyunghyun Cho, Ethan Perez
2023 J jnl
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.
CoRR
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
2023 J jnl
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.
Trans. Mach. Learn. Res.
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
2023 J jnl
Technical Report: Large Language Models can Strategically Deceive their Users when Put Under Pressure.
CoRR
Jérémy Scheurer, Mikita Balesni, Marius Hobbhahn
2023 J jnl
Training Language Models with Language Feedback at Scale.
CoRR
Jérémy Scheurer, Jon Ander Campos, Tomasz Korbak, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, Ethan Perez
2022 J jnl
Few-shot Adaptation Works with UnpredicTable Data.
CoRR
Jun Shern Chan, Michael Pieler, Jonathan Jao, Jérémy Scheurer, Ethan Perez
2022 J jnl
Instance-wise algorithm configuration with graph neural networks.
CoRR
Romeo Valentin, Claudio Ferrari, Jérémy Scheurer, Andisheh Amrollahi, Chris Wendler, Max B. Paulus
2022 J jnl
Learning from Natural Language Feedback.
CoRR
Jérémy Scheurer, Jon Ander Campos, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, Ethan Perez
2020 — conf
Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema.
MIUA
Jérémy Scheurer, Claudio Ferrari, Luis Berenguer Todo Bom, Michaela Beer, Werner Kempf, Luis Haug
2020 J jnl
Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema.
CoRR
Jérémy Scheurer, Claudio Ferrari, Luis Berenguer Todo Bom, Michaela Beer, Werner Kempf, Luis Haug