Long Phan

According to our database, Long Phan authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Long Phan, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Adam Khoja, Zhenqi Zhao, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Liu, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Russell Kaplan, Ian Steneker, David Campbell, Brad Jokubaitis, Alex Levinson, Jean Wang, William Qian, Kallol Krishna Karmakar, Steven Basart, Stephen Fitz, Mindy Levine, Ponnurangam Kumaraguru, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks

CoRR, 2024

Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation.

Phuc Phan, Hieu Tran, Long Phan

CoRR, 2024

HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David A. Forsyth, Dan Hendrycks

CoRR, 2024

2023

Representation Engineering: A Top-Down Approach to AI Transparency.

Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks

CoRR, 2023

Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages.

Zheng Xin Yong, Ruochen Zhang, Jessica Zosa Forde, Skyler Wang, Samuel Cahyawijaya, Holy Lovenia, Genta Indra Winata, Lintang Sutawika, Jan Christian Blaise Cruz, Long Phan, Yin Lin Tan, Alham Fikri Aji

CoRR, 2023

Enriching Biomedical Knowledge for Low-resource Language Through Large-scale Translation.

Long Phan, Tai Dang, Hieu Tran, Trieu H. Trinh, Vy Phan, Lam D. Chau, Minh-Thang Luong

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

MTet: Multi-domain Translation for English and Vietnamese.

Chinh Ngo, Trieu H. Trinh, Long Phan, Hieu Tran, Tai Dang, Hieu Nguyen, Minh Nguyen, Minh-Thang Luong

CoRR, 2022

Enriching Biomedical Knowledge for Vietnamese Low-resource Language Through Large-Scale Translation.

Long Phan, Tai Dang, Hieu Tran, Vy Phan, Lam D. Chau, Trieu H. Trinh

CoRR, 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, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Alexandra Sasha Luccioni, Yacine Jernite

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation.

Long Phan, Hieu Tran, Hieu Nguyen, Trieu H. Trinh

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2022

2021

VieSum: How Robust Are Transformer-based Models on Vietnamese Summarization?

Hieu Nguyen, Long Phan, James T. Anibal, Alec Peltekian, Hieu Tran

CoRR, 2021

Hierarchical Transformer Encoders for Vietnamese Spelling Correction.

Hieu Tran, Cuong V. Dinh, Long Phan, Son Truong Nguyen

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

SPBERT: an Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs.

Hieu Tran, Long Phan, James T. Anibal, Binh T. Nguyen, Truong-Son Nguyen

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Leveraging Transfer Learning for Reliable Intelligence Identification on Vietnamese SNSs (ReINTEL).

Trung-Hieu Tran, Long Phan, Truong-Son Nguyen, Tien-Huy Nguyen

CoRR, 2020