Louis Castricato
Louis Castricato
PhD Student, Brown. Research Director, CarperAI.
Verified email at - Homepage
Cited by
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Vqgan-clip: Open domain image generation and editing with natural language guidance
K Crowson, S Biderman, D Kornis, D Stander, E Hallahan, L Castricato, ...
European Conference on Computer Vision, 88-105, 2022
Illustrating reinforcement learning from human feedback (rlhf)
N Lambert, L Castricato, L von Werra, A Havrilla
Hugging Face Blog 9, 2022
Linearly mapping from image to text space
J Merullo, L Castricato, C Eickhoff, E Pavlick
arXiv preprint arXiv:2209.15162, 2022
Towards a formal model of narratives
L Castricato, S Biderman, RE Cardona-Rivera, D Thue
arXiv preprint arXiv:2103.12872, 2021
Tell me a story like I'm five: story generation via question answering
L Castricato, S Frazier, J Balloch, M Riedl
Proceedings of the 3rd Workshop on Narrative Understanding, 2021
Cut the carp: Fishing for zero-shot story evaluation
S Matiana, JR Smith, R Teehan, L Castricato, S Biderman, L Gao, ...
arXiv preprint arXiv:2110.03111, 2021
EleutherAI: Going Beyond" Open Science" to" Science in the Open"
J Phang, H Bradley, L Gao, L Castricato, S Biderman
arXiv preprint arXiv:2210.06413, 2022
Fabula entropy indexing: Objective measures of story coherence
L Castricato, S Frazier, J Balloch, M Riedl
arXiv preprint arXiv:2104.07472, 2021
trlX: A scalable framework for RLHF, June 2023
L Castricato, A Havrilla, S Matiana, DV Phung, A Tiwari, J Tow, ...
URL https://github. com/CarperAI/trlx, 0
Combating adversarial inputs using a predictive-estimator network
J Orchard, L Castricato
Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017
trlX: A framework for large scale reinforcement learning from human feedback
A Havrilla, M Zhuravinskyi, D Phung, A Tiwari, J Tow, S Biderman, ...
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
Robust preference learning for storytelling via contrastive reinforcement learning
L Castricato, A Havrilla, S Matiana, M Pieler, A Ye, I Yang, S Frazier, ...
arXiv preprint arXiv:2210.07792, 2022
Suppressing Pink Elephants with Direct Principle Feedback
L Castricato, N Lile, S Anand, H Schoelkopf, S Verma, S Biderman
arXiv preprint arXiv:2402.07896, 2024
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
J Suarez, D Bloomin, KW Choe, HX Li, R Sullivan, N Kanna, D Scott, ...
Advances in Neural Information Processing Systems 36, 2024
Parameter-Efficient Neural Question Answering Models via Graph-Enriched Document Representations
L Castricato, S Fitz, WY Shin
arXiv preprint arXiv:2106.00851, 2021
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