Author

Louis Castricato

Observed name: Castricato, Louis

Observed institutions: Georgia Institute of Technology, University of Waterloo, University of Utah, Brown University, Carleton University, Stanford University

ORCID: 0000-0003-2996-886X

Observed ORCID: 0000-0003-2996-886X

OpenAlex ID: A5004714414

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

2022 · Katherine Crowson, Stella Biderman, et al. · Lecture notes in computer science · 299

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Linearly Mapping from Image to Text Space

2022 · Merullo, Jack, Castricato, Louis, et al. · arXiv (Cornell University) · 34

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

2023 · Alexander Havrilla, Maksym Zhuravinskyi, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 15

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Fabula Entropy Indexing: Objective Measures of Story Coherence

2021 · Louis Castricato, Spencer Frazier, et al. · 10

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Towards a Model-Theoretic View of Narratives

2021 · Louis Castricato, Stella Biderman, et al. · 5

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Tell Me A Story Like I'm Five: Story Generation via Question Answering

2021 · Louis Castricato, Spencer Frazier, et al. · 5

Towards a Formal Model of Narratives

2021 · Castricato, Louis, Biderman, Stella, et al. · arXiv (Cornell University) · 4

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Combating Adversarial Inputs Using a Predictive-Estimator Network

2017 · Jeff Orchard, Louis Castricato · Lecture notes in computer science · 4

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

2022 · Phang, Jason, Bradley, Herbie, et al. · arXiv (Cornell University) · 3

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Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought

2025 · Xiang, Violet, Snell, Charlie, et al. · arXiv (Cornell University) · 2

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Automated Story Generation as Question-Answering

2021 · Castricato, Louis, Frazier, Spencer, et al. · arXiv (Cornell University) · 2

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Self-Directed Synthetic Dialogues and Revisions Technical Report

2024 · Lambert, Nathan, Schoelkopf, Hailey, et al. · arXiv (Cornell University) · 1

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Suppressing Pink Elephants with Direct Principle Feedback

2024 · Castricato, Louis, Lile, Nathan, et al. · arXiv (Cornell University) · 1

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

2023 · Joseph Suarez, David Bloomin, et al. · neural information processing systems · 1

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Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning

2022 · Castricato, Louis, Havrilla, Alexander, et al. · arXiv (Cornell University) · 1

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Waypoint-1.5: A Real-Time Video World Model for Consumer Hardware

2026 · Rajpal, Rajit, Matiana, Shahbuland, et al. · arXiv (Cornell University)

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COMBAT: Conditional World Models for Behavioral Agent Training

2026 · Agarwal, Anmol, Meshram, Pranay, et al. · arXiv (Cornell University)

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

2025 · Suárez, Joseph, Choe, Kyoung Whan, et al. · arXiv (Cornell University)

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

2025 · Albalak, Alon, Phung, Duy, et al. · arXiv (Cornell University)

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Generative Reward Models

2024 · Mahan, Dakota, Van Phung, Duy, et al. · arXiv (Cornell University)

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trlX: A Framework for Large Scale Open Source RLHF

2023 · Louis Castricato · Workshop for NLP Open Source Software (NLP-OSS)

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Cut the CARP: Fishing for zero-shot story evaluation

2021 · Matiana, Shahbuland, Smith, JR, et al. · arXiv (Cornell University)

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

2021 · Castricato, Louis, Fitz, Stephen, et al. · arXiv (Cornell University)

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Works count: 31

Citation count: 387

H-index: 5

I10-index: 4