Maksym Zhuravinskyi

According to our database, Maksym Zhuravinskyi authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

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

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

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

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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

Alexander Havrilla, Maksym Zhuravinskyi, Duy Phung, Aman Tiwari, Jonathan Tow, Stella Biderman, Quentin Anthony, Louis Castricato

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023