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Louis Castricato
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2020 – today
- 2024
- [i14]Louis Castricato, Nathan Lile, Suraj Anand, Hailey Schoelkopf, Siddharth Verma, Stella Biderman:
Suppressing Pink Elephants with Direct Principle Feedback. CoRR abs/2402.07896 (2024) - [i13]Louis Castricato, Nathan Lile, Rafael Rafailov, Jan-Philipp Fränken, Chelsea Finn:
PERSONA: A Reproducible Testbed for Pluralistic Alignment. CoRR abs/2407.17387 (2024) - [i12]Nathan Lambert, Hailey Schoelkopf, Aaron Gokaslan, Luca Soldaini, Valentina Pyatkin, Louis Castricato:
Self-Directed Synthetic Dialogues and Revisions Technical Report. CoRR abs/2407.18421 (2024) - [i11]Dakota Mahan, Duy Phung, Rafael Rafailov, Chase Blagden, Nathan Lile, Louis Castricato, Jan-Philipp Fränken, Chelsea Finn, Alon Albalak:
Generative Reward Models. CoRR abs/2410.12832 (2024) - 2023
- [c5]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: 8578-8595 - [c4]Jack Merullo, Louis Castricato, Carsten Eickhoff, Ellie Pavlick:
Linearly Mapping from Image to Text Space. ICLR 2023 - [c3]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 - [i10]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 abs/2311.03736 (2023) - 2022
- [c2]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: 88-105 - [i9]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 abs/2204.08583 (2022) - [i8]Jack Merullo, Louis Castricato, Carsten Eickhoff, Ellie Pavlick:
Linearly Mapping from Image to Text Space. CoRR abs/2209.15162 (2022) - [i7]Jason Phang, Herbie Bradley
EleutherAI: Going Beyond "Open Science" to "Science in the Open". CoRR abs/2210.06413 (2022) - [i6]Louis Castricato, Alexander Havrilla, Shahbuland Matiana, Michael Pieler, Anbang Ye, Ian Yang
Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning. CoRR abs/2210.07792 (2022) - 2021
- [i5]Louis Castricato, Stella Biderman, Rogelio E. Cardona-Rivera, David Thue:
Towards a Formal Model of Narratives. CoRR abs/2103.12872 (2021) - [i4]Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Mark O. Riedl:
Fabula Entropy Indexing: Objective Measures of Story Coherence. CoRR abs/2104.07472 (2021) - [i3]Louis Castricato, Stephen Fitz, Won Young Shin:
Parameter-Efficient Neural Question Answering Models via Graph-Enriched Document Representations. CoRR abs/2106.00851 (2021) - [i2]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 abs/2110.03111 (2021) - [i1]Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Nitya Tarakad, Mark O. Riedl:
Automated Story Generation as Question-Answering. CoRR abs/2112.03808 (2021)
2010 – 2019
- 2017
- [c1]Jeff Orchard, Louis Castricato:
Combating Adversarial Inputs Using a Predictive-Estimator Network. ICONIP (2) 2017: 118-125
Coauthor Index
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