Taken out of context: On measuring situational awareness in LLMs. - Lukas Berglund; Asa Cooper Stickland; Mikita Balesni; Maximilian Kaufmann; Meg Tong; Tomasz Korbak; Daniel Kokotajlo; Owain Evans (CoRR, 2023)

Technical Report: Large Language Models can Strategically Deceive their Users when Put Under Pressure. - Jérémy Scheurer; Mikita Balesni; Marius Hobbhahn (CoRR, 2023)

The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A". - Lukas Berglund; Meg Tong; Maximilian Kaufmann; Mikita Balesni; Asa Cooper Stickland; Tomasz Korbak; Owain Evans (ICLR, 2024)

Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs. - Rudolf Laine; Bilal Chughtai; Jan Betley; Kaivalya Hariharan; Mikita Balesni; Jérémy Scheurer; Marius Hobbhahn; Alexander Meinke; Owain Evans (NeurIPS, 2024)

Honesty to Subterfuge: In-Context Reinforcement Learning Can Make Honest Models Reward Hack. - Leo McKee-Reid; Christoph Sträter; Maria Angelica Martinez; Joe Needham; Mikita Balesni (CoRR, 2024)

Towards evaluations-based safety cases for AI scheming. - 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; et al. (CoRR, 2024)

The Two-Hop Curse: LLMs trained on A->B, B->C fail to learn A->C. - Mikita Balesni; Tomasz Korbak; Owain Evans (CoRR, 2024)

Frontier Models are Capable of In-context Scheming. - Alexander Meinke; Bronson Schoen; Jérémy Scheurer; Mikita Balesni; Rusheb Shah; Marius Hobbhahn (CoRR, 2024)

How to evaluate control measures for LLM agents? A trajectory from today to superintelligence. - Tomek Korbak; Mikita Balesni; Buck Shlegeris; Geoffrey Irving (CoRR, 2025)

AI Behind Closed Doors: a Primer on The Governance of Internal Deployment. - Charlotte Stix; Matteo Pistillo; Girish Sastry; Marius Hobbhahn; Alejandro Ortega; Mikita Balesni; Annika Hallensleben; Nix Goldowsky-Dill; Lee Sharkey (CoRR, 2025)

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety. - Tomek Korbak; Mikita Balesni; Elizabeth Barnes; Yoshua Bengio; Joe Benton; Joseph Bloom; Mark Chen 003; Alan Cooney; Allan Dafoe; Anca D. Dragan; Scott Emmons; Owain Evans; et al. (CoRR, 2025)