Louis Castricato

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Reinforcement Learning

Question Answering

Story Generation

Top Venues

Publications

Louis Castricato, Nathan Lile, Suraj Anand, Hailey Schoelkopf, Siddharth Verma, Stella Biderman
Suppressing Pink Elephants with Direct Principle Feedback. CoRR (2024)
Nathan Lambert, Hailey Schoelkopf, Aaron Gokaslan, Luca Soldaini, Valentina Pyatkin, Louis Castricato
Self-Directed Synthetic Dialogues and Revisions Technical Report. CoRR (2024)
Louis Castricato, Nathan Lile, Rafael Rafailov, Jan-Philipp Fränken, Chelsea Finn
PERSONA: A Reproducible Testbed for Pluralistic Alignment. CoRR (2024)
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
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. NeurIPS (2023)
Alexander Havrilla, Maksym Zhuravinskyi, Duy Phung, Aman Tiwari, Jonathan Tow, Stella Biderman, Quentin Anthony, Louis Castricato
trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback. EMNLP (2023)
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
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. CoRR (2023)
Jack Merullo, Louis Castricato, Carsten Eickhoff, Ellie Pavlick
Linearly Mapping from Image to Text Space. ICLR (2023)
Katherine Crowson, Stella Biderman, Daniel Kornis, Dashiell Stander, Eric Hallahan, Louis Castricato, Edward Raff
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance. CoRR (2022)
Louis Castricato, Alexander Havrilla, Shahbuland Matiana, Michael Pieler, Anbang Ye, Ian Yang, Spencer Frazier, Mark Riedl
Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning. CoRR (2022)
Jason Phang, Herbie Bradley, Leo Gao, Louis Castricato, Stella Biderman
EleutherAI: Going Beyond "Open Science" to "Science in the Open". CoRR (2022)
Katherine Crowson, Stella Biderman, Daniel Kornis, Dashiell Stander, Eric Hallahan, Louis Castricato, Edward Raff
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance. ECCV (37) (2022)
Jack Merullo, Louis Castricato, Carsten Eickhoff, Ellie Pavlick
Linearly Mapping from Image to Text Space. CoRR (2022)
Louis Castricato, Stella Biderman, Rogelio E. Cardona-Rivera, David Thue
Towards a Formal Model of Narratives. CoRR (2021)
Shahbuland Matiana, J. R. Smith, Ryan Teehan, Louis Castricato, Stella Biderman, Leo Gao, Spencer Frazier
Cut the CARP: Fishing for zero-shot story evaluation. CoRR (2021)
Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Nitya Tarakad, Mark Riedl
Automated Story Generation as Question-Answering. CoRR (2021)
Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Mark Riedl
Fabula Entropy Indexing: Objective Measures of Story Coherence. CoRR (2021)
Louis Castricato, Stephen Fitz, Won Young Shin
Parameter-Efficient Neural Question Answering Models via Graph-Enriched Document Representations. CoRR (2021)
Jeff Orchard, Louis Castricato
Combating Adversarial Inputs Using a Predictive-Estimator Network. ICONIP (2) (2017)