Belief revision in a micro-social network: Modeling sensitivity to statistical dependencies in social learning. - Jan-Philipp Fränken; Nikolas Theodoropoulos; Adam Moore; Neil Bramley (CogSci, 2020)

Know your network: Sensitivity to structure in social learning. - Jan-Philipp Fränken; Simon Valentin; Chris Lucas 001; Neil R. Bramley (CogSci, 2021)

Cascades Across Networks Are Sufficient for the Formation of Echo Chambers: An Agent-Based Model. - Jan-Philipp Fränken; Toby D. Pilditch (J. Artif. Soc. Soc. Simul., 2021)

Understanding Social Reasoning in Language Models with Language Models. - Kanishk Gandhi; Jan-Philipp Fränken; Tobias Gerstenberg; Noah D. Goodman (NeurIPS, 2023)

Social Contract AI: Aligning AI Assistants with Implicit Group Norms. - Jan-Philipp Fränken; Sam Kwok; Peixuan Ye; Kanishk Gandhi; Dilip Arumugam; Jared Moore; Alex Tamkin; Tobias Gerstenberg; Noah D. Goodman (CoRR, 2023)

From Centralized to Self-Supervised: Pursuing Realistic Multi-Agent Reinforcement Learning. - Violet Xiang; Logan Cross; Jan-Philipp Fränken; Nick Haber (CoRR, 2023)

Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels. - Jan-Philipp Fränken; Eric Zelikman; Rafael Rafailov; Kanishk Gandhi; Tobias Gerstenberg; Noah D. Goodman (NeurIPS, 2024)

MARPLE: A Benchmark for Long-Horizon Inference. - Emily Jin; Zhuoyi Huang; Jan-Philipp Fränken; Weiyu Liu; Hannah Cha; Erik Brockbank; Sarah Wu; Ruohan Zhang; Jiajun Wu 001; Tobias Gerstenberg (NeurIPS, 2024)

STaR-GATE: Teaching Language Models to Ask Clarifying Questions. - Chinmaya Andukuri; Jan-Philipp Fränken; Tobias Gerstenberg; Noah D. Goodman (CoRR, 2024)

Procedural Dilemma Generation for Evaluating Moral Reasoning in Humans and Language Models. - Jan-Philipp Fränken; Kanishk Gandhi; Tori Qiu; Ayesha Khawaja; Noah D. Goodman; Tobias Gerstenberg (CoRR, 2024)

Human-like Affective Cognition in Foundation Models. - Kanishk Gandhi; Zoe Lynch; Jan-Philipp Fränken; Kayla Patterson; Sharon Wambu; Tobias Gerstenberg; Desmond C. Ong; Noah D. Goodman (CoRR, 2024)

Generative Reward Models. - Dakota Mahan; Duy Phung; Rafael Rafailov; Chase Blagden; Nathan Lile; Louis Castricato; Jan-Philipp Fränken; Chelsea Finn; Alon Albalak (CoRR, 2024)

PERSONA: A Reproducible Testbed for Pluralistic Alignment. - Louis Castricato; Nathan Lile; Rafael Rafailov; Jan-Philipp Fränken; Chelsea Finn (COLING, 2025)

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought. - Violet Xiang; Charlie Snell; Kanishk Gandhi; Alon Albalak; Anikait Singh; Chase Blagden; Duy Phung; Rafael Rafailov; Nathan Lile; Dakota Mahan; Louis Castricato; Jan-Philipp Fränken; et al. (CoRR, 2025)

Non-literal Understanding of Number Words by Language Models. - Polina Tsvilodub; Kanishk Gandhi; Haoran Zhao; Jan-Philipp Fränken; Michael Franke; Noah D. Goodman (CoRR, 2025)