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 (EMNLP, 2023)

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 (ENLSP, 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 (ICML, 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)

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; et al. (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 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)

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)