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Duy Phung
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2020 – today
- 2025
- [i10]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:
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought. CoRR abs/2501.04682 (2025) - [i9]Alon Albalak, Duy Phung, Nathan Lile, Rafael Rafailov, Kanishk Gandhi, Louis Castricato, Anikait Singh, Chase Blagden, Violet Xiang, Dakota Mahan, Nick Haber:
Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models. CoRR abs/2502.17387 (2025) - 2024
- [i8]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:
Stable LM 2 1.6B Technical Report. CoRR abs/2402.17834 (2024) - [i7]Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, Jonathan Tow, James Baicoianu, Ashish Datta, Maksym Zhuravinskyi, Dakota Mahan, Marco Bellagente, Carlos Riquelme, Nathan Cooper:
Stable Code Technical Report. CoRR abs/2404.01226 (2024) - [i6]Dakota Mahan, Duy Phung, Rafael Rafailov, Chase Blagden, Nathan Lile, Louis Castricato, Jan-Philipp Fränken, Chelsea Finn, Alon Albalak:
Generative Reward Models. CoRR abs/2410.12832 (2024) - [i5]Michael Pieler, Marco Bellagente, Hannah Teufel, Duy Phung, Nathan Cooper, Jonathan Tow, Paulo Rocha, Reshinth Adithyan, Zaid Alyafeai, Nikhil Pinnaparaju, Maksym Zhuravinskyi, Carlos Riquelme:
Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training. CoRR abs/2410.20796 (2024) - [i4]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:
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models. CoRR abs/2412.02980 (2024) - [i3]Zaid Alyafeai, Michael Pieler, Hannah Teufel, Jonathan Tow, Marco Bellagente, Duy Phung, Nikhil Pinnaparaju, Reshinth Adithyan, Paulo Rocha, Maksym Zhuravinskyi, Carlos Riquelme:
Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic. CoRR abs/2412.04277 (2024) - 2023
- [c5]Alexander Havrilla, Maksym Zhuravinskyi, Duy Phung, Aman Tiwari, Jonathan Tow, Stella Biderman, Quentin Anthony, Louis Castricato:
trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback. EMNLP 2023: 8578-8595 - [i2]Iva Bojic, Josef Halim, Verena Suharman, Sreeja Tar, Qi Chwen Ong, Duy Phung, Mathieu Ravaut, Shafiq Joty, Josip Car:
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets. CoRR abs/2304.00483 (2023) - 2022
- [c4]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:
A Vietnamese-English Neural Machine Translation System. INTERSPEECH 2022: 5543-5544 - 2021
- [c3]Nghia Trung Ngo, Duy Phung, Thien Huu Nguyen:
Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters. ACL/IJCNLP (Findings) 2021: 4015-4025 - [c2]Hieu Minh Tran, Duy Phung, Thien Huu Nguyen:
Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution. ACL/IJCNLP (1) 2021: 4840-4850 - 2020
- [c1]Minh Thu Nguyen, Duy Phung, Minh Hoai, Thien Huu Nguyen:
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game. EMNLP (Findings) 2020: 4587-4593 - [i1]Minh Thu Nguyen, Duy Phung, Minh Hoai, Thien Huu Nguyen:
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game. CoRR abs/2011.08543 (2020)
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