Mikita Balesni

14 papers A* 2Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI Behind Closed Doors: a Primer on The Governance of Internal Deployment.
CoRR
Charlotte Stix, Matteo Pistillo, Girish Sastry, Marius Hobbhahn, Alejandro Ortega, Mikita Balesni, Annika Hallensleben, Nix Goldowsky-Dill, Lee Sharkey
2025 J jnl
Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety.
CoRR
Tomek Korbak, Mikita Balesni, Elizabeth Barnes, Yoshua Bengio, Joe Benton, Joseph Bloom, Mark Chen, Alan Cooney, Allan Dafoe, Anca D. Dragan, Scott Emmons, Owain Evans, David Farhi, Ryan Greenblatt, Dan Hendrycks, Marius Hobbhahn, Evan Hubinger, Geoffrey Irving, Erik Jenner, Daniel Kokotajlo, Victoria Krakovna, Shane Legg, David Lindner, David Luan, Aleksander Madry, Julian Michael, Neel Nanda, Dave Orr, Jakub Pachocki, Ethan Perez, Mary Phuong, Fabien Roger, Joshua Saxe, Buck Shlegeris, Martín Soto, Eric Steinberger, Jasmine Wang, Wojciech Zaremba, Bowen Baker, Rohin Shah, Vladimir Mikulik
2025 J jnl
How to evaluate control measures for LLM agents? A trajectory from today to superintelligence.
CoRR
Tomek Korbak, Mikita Balesni, Buck Shlegeris, Geoffrey Irving
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
Frontier Models are Capable of In-context Scheming.
CoRR
Alexander Meinke, Bronson Schoen, Jérémy Scheurer, Mikita Balesni, Rusheb Shah, Marius Hobbhahn
2024 J jnl
Honesty to Subterfuge: In-Context Reinforcement Learning Can Make Honest Models Reward Hack.
CoRR
Leo McKee-Reid, Christoph Sträter, Maria Angelica Martinez, Joe Needham, Mikita Balesni
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 A* conf
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A".
ICLR
Lukas Berglund, Meg Tong, Maximilian Kaufmann, Mikita Balesni, Asa Cooper Stickland, Tomasz Korbak, Owain Evans
2024 J jnl
The Two-Hop Curse: LLMs trained on A->B, B->C fail to learn A->C.
CoRR
Mikita Balesni, Tomasz Korbak, 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
2023 J jnl
Taken out of context: On measuring situational awareness in LLMs.
CoRR
Lukas Berglund, Asa Cooper Stickland, Mikita Balesni, Maximilian Kaufmann, Meg Tong, Tomasz Korbak, Daniel Kokotajlo, Owain Evans
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
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A".
CoRR
Lukas Berglund, Meg Tong, Maximilian Kaufmann, Mikita Balesni, Asa Cooper Stickland, Tomasz Korbak, Owain Evans