Johannes Treutlein

17 papers A* 5A 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Auditing language models for hidden objectives. CoRR Samuel Marks, Johannes Treutlein, Trenton Bricken, Jack Lindsey, Jonathan Marcus, Siddharth Mishra-Sharma, Daniel M. Ziegler, Emmanuel Ameisen, Joshua Batson, Tim Belonax, Samuel R. Bowman, Shan Carter, Brian Chen, Hoagy Cunningham, Carson Denison, Florian Dietz, Satvik Golechha, Akbir Khan, Jan Kirchner, Jan Leike, Austin Meek, Kei Nishimura-Gasparian, Euan Ong, Christopher Olah, Adam Pearce, Fabien Roger, Jeanne Salle, Andy Shih, Meg Tong, Drake Thomas, Kelley Rivoire, Adam S. Jermyn, Monte MacDiarmid, Tom Henighan, Evan Hubinger
2025	J	`jnl`	School of Reward Hacks: Hacking harmless tasks generalizes to misaligned behavior in LLMs. CoRR Mia Taylor, James Chua, Jan Betley, Johannes Treutlein, Owain Evans
2024	J	`jnl`	Alignment faking in large language models. CoRR Ryan Greenblatt, Carson Denison, Benjamin Wright, Fabien Roger, Monte MacDiarmid, Samuel Marks, Johannes Treutlein, Tim Belonax, Jack Chen, David Duvenaud, Akbir Khan, Julian Michael, Sören Mindermann, Ethan Perez, Linda Petrini, Jonathan Uesato, Jared Kaplan, Buck Shlegeris, Samuel R. Bowman, Evan Hubinger
2024	A*	`conf`	Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data. NeurIPS Johannes Treutlein, Dami Choi, Jan Betley, Samuel Marks, Cem Anil, Roger B. Grosse, Owain Evans
2024	J	`jnl`	Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data. CoRR Johannes Treutlein, Dami Choi, Jan Betley, Cem Anil, Samuel Marks, Roger Baker Grosse, Owain Evans
2023	J	`jnl`	Conditioning Predictive Models: Risks and Strategies. CoRR Evan Hubinger, Adam S. Jermyn, Johannes Treutlein, Rubi Hudson, Kate Woolverton
2023	A	`conf`	Incentivizing honest performative predictions with proper scoring rules. UAI Caspar Oesterheld, Johannes Treutlein, Emery Cooper, Rubi Hudson
2023	J	`jnl`	Incentivizing honest performative predictions with proper scoring rules. CoRR Caspar Oesterheld, Johannes Treutlein, Emery Cooper, Rubi Hudson
2023	A*	`conf`	Similarity-based cooperative equilibrium. NeurIPS Caspar Oesterheld, Johannes Treutlein, Roger B. Grosse, Vincent Conitzer, Jakob N. Foerster
2022	A*	`conf`	COLA: Consistent Learning with Opponent-Learning Awareness. ICML Timon Willi, Alistair Letcher, Johannes Treutlein, Jakob N. Foerster
2022	J	`jnl`	COLA: Consistent Learning with Opponent-Learning Awareness. CoRR Timon Willi, Johannes Treutlein, Alistair Letcher, Jakob N. Foerster
2022	A*	`conf`	Path Independent Equilibrium Models Can Better Exploit Test-Time Computation. NeurIPS Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger B. Grosse
2022	J	`jnl`	Path Independent Equilibrium Models Can Better Exploit Test-Time Computation. CoRR Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, Zico Kolter, Roger B. Grosse
2022	J	`jnl`	Similarity-based Cooperation. CoRR Caspar Oesterheld, Johannes Treutlein, Roger B. Grosse, Vincent Conitzer, Jakob N. Foerster
2021	A*	`conf`	A New Formalism, Method and Open Issues for Zero-Shot Coordination. ICML Johannes Treutlein, Michael Dennis, Caspar Oesterheld, Jakob N. Foerster
2021	J	`jnl`	A New Formalism, Method and Open Issues for Zero-Shot Coordination. CoRR Johannes Treutlein, Michael Dennis, Caspar Oesterheld, Jakob N. Foerster
2021	J	`jnl`	Normative Disagreement as a Challenge for Cooperative AI. CoRR Julian Stastny, Maxime Riché, Alexander Lyzhov, Johannes Treutlein, Allan Dafoe, Jesse Clifton