Maksym Zhuravinskyi

Researcher, Language Research, Stability AI

Joined

January 2023

Names

Maksym Zhuravinskyi (Preferred)

Emails

****@morphed.space (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Language Research, Stability AI (stability.ai)

2022 – Present

Undergrad student

Applied science faculty, Ukrainian Catholic University (ucu.edu.ua)

2019 – 2022

Advisors, Relations & Conflicts

No relations added

Expertise

reinforcement learning

reward modeling

2020 – Present

Publications

Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation
Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi, Maksim Lapin, Reshinth Adithyan, Amit Raj, Chitta Baral, Yezhou Yang, Varun Jampani
- NeurIPS 2025 poster
- Readers: Everyone
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
Alexander Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Raileanu
- ICML 2024 Poster
- Readers: Everyone
Stable Code Technical Report
Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, Jonathan Tow, James Baicoianu, Ashish Datta, Maksym Zhuravinskyi, Dakota Mahan, Marco Bellagente, Carlos Riquelme, Nathan Cooper
- CoRR 2024
- Readers: Everyone
Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic
Zaid Alyafeai, Michael Pieler, Hannah Teufel, Jonathan Tow, Marco Bellagente, Duy Phung, Nikhil Pinnaparaju, Reshinth Adithyan, Paulo Rocha, Maksym Zhuravinskyi, Carlos Riquelme
- CoRR 2024
- Readers: Everyone
Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training
Michael Pieler, Marco Bellagente, Hannah Teufel, Duy Phung, Nathan Cooper, Jonathan Tow, Paulo Rocha, Reshinth Adithyan, Zaid Alyafeai, Nikhil Pinnaparaju, Maksym Zhuravinskyi, Carlos Riquelme
- CoRR 2024
- Readers: Everyone
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
Alex Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Railneau
- CoRR 2024
- Readers: Everyone
Teaching Large Language Models to Reason with Reinforcement Learning
Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu
- CoRR 2024
- Readers: Everyone
Stable LM 2 1.6B Technical Report
Marco Bellagente, Jonathan Tow, Dakota Mahan, Duy Phung, Maksym Zhuravinskyi, Reshinth Adithyan, James Baicoianu, Ben Brooks, Nathan Cooper, Ashish Datta, Meng Lee, Emad Mostaque, Michael Pieler, Nikhil Pinnaparaju, Paulo Rocha, Harry Saini, Hannah Teufel, Niccoló Zanichelli, Carlos Riquelme
- CoRR 2024
- Readers: Everyone
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
Alexander Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Raileanu
- ICML 2024
- Readers: Everyone
trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback
Alexander Havrilla, Maksym Zhuravinskyi, Duy Van Phung, Aman Tiwari, Jonathan Tow, Stella Biderman, Quentin Gregory Anthony, Louis Castricato
- EMNLP 2023 Main
- Readers: Everyone

View all 11 publications

Co-Authors

View all 42 co-authors