Louis Castricato

According to our database, Louis Castricato authored at least 20 papers between 2017 and 2025.

Collaborative distances:

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

2025

Results of the NeurIPS 2023 Neural MMO Competition on Multi-task Reinforcement Learning.

Joseph Suárez, Kyoung Whan Choe, David Bloomin, Jianming Gao, Yunkun Li, Yao Feng, Saidinesh Pola, Kun Zhang, Yonghui Zhu, Nikhil Pinnaparaju, Hao Xiang Li, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Kirsty You, Bo Wu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Louis Castricato, Xiaolong Zhu, Phillip Isola

CoRR, August, 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

Self-Directed Synthetic Dialogues and Revisions Technical Report.

Nathan Lambert, Hailey Schoelkopf, Aaron Gokaslan, Luca Soldaini, Valentina Pyatkin, Louis Castricato

CoRR, 2024

Suppressing Pink Elephants with Direct Principle Feedback.

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

CoRR, 2024

2023

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning.

Joseph Suárez, Phillip Isola, Kyoung Whan Choe, David Bloomin, Hao Xiang Li, Nikhil Pinnaparaju, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Louis Castricato, Kirsty You, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu

CoRR, 2023

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning.

Joseph Suarez, David Bloomin, Kyoung Whan Choe, Hao Xiang Li, Ryan Sullivan, Nishaanth Kanna, Daniel Scott, Rose S. Shuman, Herbie Bradley, Louis Castricato, Phillip Isola, Chenghui Yu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu

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

Linearly Mapping from Image to Text Space.

Jack Merullo, Louis Castricato, Carsten Eickhoff, Ellie Pavlick

Proceedings of the Eleventh International Conference on Learning Representations, 2023

trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback.

Alexander Havrilla, Maksym Zhuravinskyi, Duy Phung, Aman Tiwari, Jonathan Tow, Stella Biderman, Quentin Anthony, Louis Castricato

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning.

Louis Castricato, Alexander Havrilla, Shahbuland Matiana, Michael Pieler, Anbang Ye, Ian Yang, Spencer Frazier, Mark O. Riedl

CoRR, 2022

EleutherAI: Going Beyond "Open Science" to "Science in the Open".

Jason Phang, Herbie Bradley, Leo Gao, Louis Castricato, Stella Biderman

CoRR, 2022

VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance.

Katherine Crowson, Stella Biderman, Daniel Kornis, Dashiell Stander, Eric Hallahan, Louis Castricato, Edward Raff

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Automated Story Generation as Question-Answering.

Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Nitya Tarakad, Mark O. Riedl

CoRR, 2021

Cut the CARP: Fishing for zero-shot story evaluation.

Shahbuland Matiana, J. R. Smith, Ryan Teehan, Louis Castricato, Stella Biderman, Leo Gao, Spencer Frazier

CoRR, 2021

Parameter-Efficient Neural Question Answering Models via Graph-Enriched Document Representations.

Louis Castricato, Stephen Fitz, Won Young Shin

CoRR, 2021

Fabula Entropy Indexing: Objective Measures of Story Coherence.

Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Mark O. Riedl

CoRR, 2021

Towards a Formal Model of Narratives.

Louis Castricato, Stella Biderman, Rogelio E. Cardona-Rivera, David Thue

CoRR, 2021

2017

Combating Adversarial Inputs Using a Predictive-Estimator Network.

Jeff Orchard, Louis Castricato

Proceedings of the Neural Information Processing - 24th International Conference, 2017