Structural and Functional Decomposition for Personality Image Captioning in a Communication Game. - Minh Thu Nguyen; Duy Phung; Minh Hoai; Thien Huu Nguyen (EMNLP (Findings), 2020)

Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters. - Nghia Trung Ngo; Duy Phung; Thien Huu Nguyen (ACL/IJCNLP (Findings), 2021)

Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution. - Hieu Minh Tran; Duy Phung; Thien Huu Nguyen (ACL/IJCNLP (1), 2021)

A Vietnamese-English Neural Machine Translation System. - Tuan-Duy H. Nguyen; Duy Phung; Duy Tran-Cong Nguyen; Hieu Minh Tran; Manh Luong; Tin Duy Vo; Hung Hai Bui; Dinh Q. Phung; Dat Quoc Nguyen (INTERSPEECH, 2022)

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)

A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets. - Iva Bojic; Josef Halim; Verena Suharman; Sreeja Tar; Qi Chwen Ong; Duy Phung; Mathieu Ravaut; Shafiq Joty; Josip Car (CoRR, 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)

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)

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)

Generative Reward Models. - Dakota Mahan; Duy Phung; Rafael Rafailov; Chase Blagden; Nathan Lile; Louis Castricato; Jan-Philipp Fränken; Chelsea Finn; Alon Albalak (CoRR, 2024)

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models. - Alex Havrilla; Andrew Dai 001; Laura O'Mahony; Koen Oostermeijer; Vera Zisler; Alon Albalak; Fabrizio Milo; Sharath Chandra Raparthy; Kanishk Gandhi; Baber Abbasi; Duy Phung; Maia Iyer; et al. (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)

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought. - Violet Xiang; Charlie Snell; Kanishk Gandhi; Alon Albalak; Anikait Singh; Chase Blagden; Duy Phung; Rafael Rafailov; Nathan Lile; Dakota Mahan; Louis Castricato; Jan-Philipp Fränken; et al. (CoRR, 2025)

Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models. - Alon Albalak; Duy Phung; Nathan Lile; Rafael Rafailov; Kanishk Gandhi; Louis Castricato; Anikait Singh; Chase Blagden; Violet Xiang; Dakota Mahan; Nick Haber (CoRR, 2025)