Jan-Philipp Fränken

According to our database, Jan-Philipp Fränken authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, February, 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, Nick Haber, Chelsea Finn

CoRR, January, 2025

PERSONA: A Reproducible Testbed for Pluralistic Alignment.

Louis Castricato, Nathan Lile, Rafael Rafailov, Jan-Philipp Fränken, Chelsea Finn

Proceedings of the 31st International Conference on Computational Linguistics, 2025

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

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

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

STaR-GATE: Teaching Language Models to Ask Clarifying Questions.

Chinmaya Andukuri, Jan-Philipp Fränken, Tobias Gerstenberg, Noah D. Goodman

CoRR, 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, Tobias Gerstenberg

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

From Centralized to Self-Supervised: Pursuing Realistic Multi-Agent Reinforcement Learning.

Violet Xiang, Logan Cross, Jan-Philipp Fränken, Nick Haber

CoRR, 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

Understanding Social Reasoning in Language Models with Language Models.

Kanishk Gandhi, Jan-Philipp Fränken, Tobias Gerstenberg, Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Know your network: Sensitivity to structure in social learning.

Jan-Philipp Fränken, Simon Valentin, Chris Lucas, Neil R. Bramley

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Belief revision in a micro-social network: Modeling sensitivity to statistical dependencies in social learning.

Jan-Philipp Fränken, Nikolas Theodoropoulos, Adam Moore, Neil Bramley

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020