Duy Phung

16 papers A* 1A 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models.
CoRR
Alon Albalak, Duy Phung, Nathan Lile, Rafael Rafailov, Kanishk Gandhi, Louis Castricato, Anikait Singh, Chase Blagden, Violet Xiang, Dakota Mahan, Nick Haber
2025 J jnl
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought.
CoRR
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, Nick Haber, Chelsea Finn
2024 J jnl
Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic.
CoRR
Zaid Alyafeai, Michael Pieler, Hannah Teufel, Jonathan Tow, Marco Bellagente, Duy Phung, Nikhil Pinnaparaju, Reshinth Adithyan, Paulo Rocha, Maksym Zhuravinskyi, Carlos Riquelme
2024 J jnl
Generative Reward Models.
CoRR
Dakota Mahan, Duy Phung, Rafael Rafailov, Chase Blagden, Nathan Lile, Louis Castricato, Jan-Philipp Fränken, Chelsea Finn, Alon Albalak
2024 — conf
Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training.
ENLSP
Michael Pieler, Marco Bellagente, Hannah Teufel, Duy Phung, Nathan Cooper, Jonathan Tow, Paulo Rocha, Reshinth Adithyan, Zaid Alyafeai, Nikhil Pinnaparaju, Maksym Zhuravinskyi, Carlos Riquelme
2024 J jnl
Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training.
CoRR
Michael Pieler, Marco Bellagente, Hannah Teufel, Duy Phung, Nathan Cooper, Jonathan Tow, Paulo Rocha, Reshinth Adithyan, Zaid Alyafeai, Nikhil Pinnaparaju, Maksym Zhuravinskyi, Carlos Riquelme
2024 J jnl
Stable Code Technical Report.
CoRR
Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, Jonathan Tow, James Baicoianu, Ashish Datta, Maksym Zhuravinskyi, Dakota Mahan, Marco Bellagente, Carlos Riquelme, Nathan Cooper
2024 J jnl
Stable LM 2 1.6B Technical Report.
CoRR
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
2024 J jnl
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models.
CoRR
Alex Havrilla, Andrew Dai, Laura O'Mahony, Koen Oostermeijer, Vera Zisler, Alon Albalak, Fabrizio Milo, Sharath Chandra Raparthy, Kanishk Gandhi, Baber Abbasi, Duy Phung, Maia Iyer, Dakota Mahan, Chase Blagden, Srishti Gureja, Mohammed Hamdy, Wen-Ding Li, Giovanni Paolini, Pawan Sasanka Ammanamanchi, Elliot Meyerson
2023 J jnl
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets.
CoRR
Iva Bojic, Josef Halim, Verena Suharman, Sreeja Tar, Qi Chwen Ong, Duy Phung, Mathieu Ravaut, Shafiq Joty, Josip Car
2023 A* conf
trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback.
EMNLP
Alexander Havrilla, Maksym Zhuravinskyi, Duy Phung, Aman Tiwari, Jonathan Tow, Stella Biderman, Quentin Anthony, Louis Castricato
2022 A conf
A Vietnamese-English Neural Machine Translation System.
INTERSPEECH
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
2021 — conf
Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution.
ACL/IJCNLP (1)
Hieu Minh Tran, Duy Phung, Thien Huu Nguyen
2021 — conf
Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters.
ACL/IJCNLP (Findings)
Nghia Trung Ngo, Duy Phung, Thien Huu Nguyen
2020 — conf
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game.
EMNLP (Findings)
Minh Thu Nguyen, Duy Phung, Minh Hoai, Thien Huu Nguyen
2020 J jnl
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game.
CoRR
Minh Thu Nguyen, Duy Phung, Minh Hoai, Thien Huu Nguyen