A New Formalism, Method and Open Issues for Zero-Shot Coordination. - Johannes Treutlein; Michael Dennis 001; Caspar Oesterheld; Jakob N. Foerster (ICML, 2021)

Normative Disagreement as a Challenge for Cooperative AI. - Julian Stastny; Maxime Riché; Alexander Lyzhov; Johannes Treutlein; Allan Dafoe; Jesse Clifton (CoRR, 2021)

COLA: Consistent Learning with Opponent-Learning Awareness. - Timon Willi; Alistair Letcher; Johannes Treutlein; Jakob N. Foerster (ICML, 2022)

Path Independent Equilibrium Models Can Better Exploit Test-Time Computation. - Cem Anil; Ashwini Pokle; Kaiqu Liang; Johannes Treutlein; Yuhuai Wu; Shaojie Bai; J. Zico Kolter; Roger B. Grosse (NeurIPS, 2022)

Similarity-based Cooperation. - Caspar Oesterheld; Johannes Treutlein; Roger B. Grosse; Vincent Conitzer; Jakob N. Foerster (CoRR, 2022)

Similarity-based cooperative equilibrium. - Caspar Oesterheld; Johannes Treutlein; Roger B. Grosse; Vincent Conitzer; Jakob N. Foerster (NeurIPS, 2023)

Incentivizing honest performative predictions with proper scoring rules. - Caspar Oesterheld; Johannes Treutlein; Emery Cooper; Rubi Hudson (UAI, 2023)

Conditioning Predictive Models: Risks and Strategies. - Evan Hubinger; Adam S. Jermyn; Johannes Treutlein; Rubi Hudson; Kate Woolverton (CoRR, 2023)

Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data. - Johannes Treutlein; Dami Choi; Jan Betley; Samuel Marks; Cem Anil; Roger B. Grosse; Owain Evans (NeurIPS, 2024)

Alignment faking in large language models. - Ryan Greenblatt; Carson Denison; Benjamin Wright; Fabien Roger; Monte MacDiarmid; Samuel Marks; Johannes Treutlein; Tim Belonax; Jack Chen; David Duvenaud; Akbir Khan; Julian Michael; et al. (CoRR, 2024)

Auditing language models for hidden objectives. - 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; et al. (CoRR, 2025)