Charbel-Raphaël Ségerie

According to our database, Charbel-Raphaël Ségerie authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

The bitter lesson of misuse detection.

Hadrien Mariaccia, Charbel-Raphaël Ségerie, Diego Dorn

CoRR, July, 2025

Safety by Measurement: A Systematic Literature Review of AI Safety Evaluation Methods.

Markov Grey, Charbel-Raphaël Ségerie

CoRR, May, 2025

In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?

Ben Bucknall, Saad Siddiqui, Lara Thurnherr, Conor McGurk, Ben Harack, Anka Reuel, Patricia Paskov, Casey Mahoney, Sören Mindermann, Scott Singer, Vinay Hiremath, Charbel-Raphaël Ségerie, Oscar Delaney, Alessandro Abate, Fazl Barez, Michael K. Cohen, Philip Torr, Ferenc Huszár, Anisoara Calinescu, Gabriel Davis Jones, Yoshua Bengio, Robert Trager

CoRR, April, 2025

In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?

Ben Bucknall, Saad Siddiqui, Lara Thurnherr, Conor McGurk, Ben Harack, Anka Reuel, Patricia Paskov, Casey Mahoney, Sören Mindermann, Scott Singer, Vinay Hiremath, Charbel-Raphaël Ségerie, Oscar Delaney, Alessandro Abate, Fazl Barez, Michael K. Cohen, Philip Torr, Ferenc Huszár, Anisoara Calinescu, Gabriel Davis Jones, Robert Trager

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

BELLS: A Framework Towards Future Proof Benchmarks for the Evaluation of LLM Safeguards.

Diego Dorn, Alexandre Variengien, Charbel-Raphaël Ségerie, Vincent Corruble

CoRR, 2024

Continuous Time Continuous Space Homeostatic Reinforcement Learning (CTCS-HRRL) : Towards Biological Self-Autonomous Agent.

Hugo Laurençon, Yesoda Bhargava, Riddhi Zantye, Charbel-Raphaël Ségerie, Johann Lussange, Veeky Baths, Boris Gutkin

CoRR, 2024

2023

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

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

Trans. Mach. Learn. Res., 2023

2021

Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents.

Hugo Laurençon, Charbel-Raphaël Ségerie, Johann Lussange, Boris S. Gutkin

CoRR, 2021