Preordering for Chinese-Vietnamese Statistical Machine Translation. - Huu-Anh Tran; Heyan Huang; Phuoc Tran; Shumin Shi; Huu Nguyen (IEICE Trans. Inf. Syst., 2019)

Mixed-Level Neural Machine Translation. - Thien Nguyen 003; Huu Nguyen; Phuoc Tran (Comput. Intell. Neurosci., 2020)

Projecting dependency syntax labels from English into Vietnamese in English-Vietnamese bilingual corpus. - Phuoc Tran; Van-Deo Duong; Dien Dinh; Bay Vo; Huu Nguyen; Long H. B. Nguyen (Int. J. Intell. Inf. Database Syst., 2020)

Sublemma-Based Neural Machine Translation. - Thien Nguyen 003; Huu Nguyen; Phuoc Tran (Complex., 2021)

Improving Transformer-Based Neural Machine Translation with Prior Alignments. - Thien Nguyen 003; Lam Nguyen; Phuoc Tran; Huu Nguyen (Complex., 2021)

Data Governance in the Age of Large-Scale Data-Driven Language Technology. - Yacine Jernite; Huu Nguyen; Stella Biderman; Anna Rogers; Maraim Masoud; Valentin Danchev; Samson Tan; Alexandra Sasha Luccioni; Nishant Subramani; Isaac Johnson 001; Gérard Dupont; Jesse Dodge; et al. (FAccT, 2022)

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. - Hugo Laurençon; Lucile Saulnier; Thomas Wang; Christopher Akiki; Albert Villanova del Moral; Teven Le Scao; Leandro von Werra; Chenghao Mou; Eduardo González Ponferrada; Huu Nguyen; Jörg Frohberg; Mario Sasko; et al. (NeurIPS, 2022)

Data Governance in the Age of Large-Scale Data-Driven Language Technology. - Yacine Jernite; Huu Nguyen; Stella Biderman; Anna Rogers; Maraim Masoud; Valentin Danchev; Samson Tan; Alexandra Sasha Luccioni; Nishant Subramani; Gérard Dupont; Jesse Dodge; Kyle Lo; et al. (CoRR, 2022)

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. - Teven Le Scao; Angela Fan; Christopher Akiki; Ellie Pavlick; Suzana Ilic; Daniel Hesslow; Roman Castagné; Alexandra Sasha Luccioni; François Yvon; Matthias Gallé; Jonathan Tow; Alexander M. Rush; et al. (CoRR, 2022)

OpenAssistant Conversations - Democratizing Large Language Model Alignment. - Andreas Köpf; Yannic Kilcher; Dimitri von Rütte; Sotiris Anagnostidis; Zhi Rui Tam; Keith Stevens; Abdullah Barhoum; Duc Nguyen; Oliver Stanley; Richárd Nagyfi; Shahul ES; Sameer Suri; et al. (NeurIPS, 2023)

SantaCoder: don't reach for the stars! - Loubna Ben Allal; Raymond Li; Denis Kocetkov; Chenghao Mou; Christopher Akiki; Carlos Muñoz Ferrandis; Niklas Muennighoff; Mayank Mishra; Alex Gu; Manan Dey; Logesh Kumar Umapathi; Carolyn Jane Anderson; et al. (CoRR, 2023)

OpenAssistant Conversations - Democratizing Large Language Model Alignment. - Andreas Köpf; Yannic Kilcher; Dimitri von Rütte; Sotiris Anagnostidis; Zhi Rui Tam; Keith Stevens; Abdullah Barhoum; Nguyen Minh Duc; Oliver Stanley; Richárd Nagyfi; Shahul ES; Sameer Suri; et al. (CoRR, 2023)

RedPajama: an Open Dataset for Training Large Language Models. - Maurice Weber; Daniel Y. Fu; Quentin Anthony; Yonatan Oren; Shane Adams; Anton Alexandrov; Xiaozhong Lyu; Huu Nguyen; Xiaozhe Yao; Virginia Adams; Ben Athiwaratkun; Rahul Chalamala; et al. (NeurIPS, 2024)

Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. - Taishi Nakamura; Mayank Mishra; Simone Tedeschi; Yekun Chai; Jason T. Stillerman; Felix Friedrich; Prateek Yadav; Tanmay Laud; Minh Chien Vu; Terry Yue Zhuo; Diganta Misra; Ben Bogin; et al. (CoRR, 2024)

ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming. - Simone Tedeschi; Felix Friedrich; Patrick Schramowski; Kristian Kersting; Roberto Navigli; Huu Nguyen; Bo Li (CoRR, 2024)

LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Gaps. - Felix Friedrich; Simone Tedeschi; Patrick Schramowski; Manuel Brack; Roberto Navigli; Huu Nguyen; Bo Li; Kristian Kersting (CoRR, 2024)

Project Alexandria: Towards Freeing Scientific Knowledge from Copyright Burdens via LLMs. - Christoph Schuhmann; Gollam Rabby; Ameya Prabhu; Tawsif Ahmed; Andreas Hochlehnert; Huu Nguyen; Nick Akinci Heidrich; Ludwig Schmidt; Robert Kaczmarczyk; Sören Auer; Jenia Jitsev; Matthias Bethge (CoRR, 2025)

EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition. - Christoph Schuhmann; Robert Kaczmarczyk; Gollam Rabby; Felix Friedrich; Maurice Kraus; Krishna Kalyan; Kourosh Nadi; Huu Nguyen; Kristian Kersting; Sören Auer (CoRR, 2025)

EmoNet-Voice: A Fine-Grained, Expert-Verified Benchmark for Speech Emotion Detection. - Christoph Schuhmann; Robert Kaczmarczyk; Gollam Rabby; Felix Friedrich; Maurice Kraus; Kourosh Nadi; Huu Nguyen; Kristian Kersting; Sören Auer (CoRR, 2025)