Nathan Lile

According to our database, Nathan Lile authored at least 7 papers between 2024 and 2025.

Collaborative distances:

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

2025

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning.

Violet Xiang, Chase Blagden, Rafael Rafailov, Nathan Lile, Sang T. Truong, Chelsea Finn, Nick Haber

CoRR, June, 2025

Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs.

Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, Nathan Lile, Noah D. Goodman

CoRR, March, 2025

Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models.

Alon Albalak, Duy Phung, Nathan Lile, Rafael Rafailov, Kanishk Gandhi, Louis Castricato, Anikait Singh, Chase Blagden, Violet Xiang, Dakota Mahan, Nick Haber

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

Suppressing Pink Elephants with Direct Principle Feedback.

Louis Castricato, Nathan Lile, Suraj Anand, Hailey Schoelkopf, Siddharth Verma, Stella Biderman

CoRR, 2024