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2020 – today
- 2025
[i16]Long Phan, Alice Gatti, Ziwen Han, Nathaniel Li, Josephina Hu, Hugh Zhang, Sean Shi, Michael Choi, Anish Agrawal, Arnav Chopra, Adam Khoja, Ryan Kim, Jason Hausenloy, Oliver Zhang, Mantas Mazeika, Daron Anderson, Tung Nguyen, Mobeen Mahmood, Fiona Feng, Steven Y. Feng, Haoran Zhao, Michael Yu, Varun Gangal, Chelsea Zou, Zihan Wang, Jessica P. Wang, Pawan Kumar, Oleksandr Pokutnyi, Robert Gerbicz, Serguei Popov, John-Clark Levin, Mstyslav Kazakov, Johannes Schmitt, Geoff Galgon, Alvaro Sanchez, Yongki Lee, Will Yeadon, Scott Sauers, Marc Roth, Chidozie Agu, Søren Riis, Fabian Giska, Saiteja Utpala, Zachary Giboney, Gashaw M. Goshu, Joan of Arc Xavier, Sarah-Jane Crowson, Mohinder Maheshbhai Naiya, Noah Burns, Lennart Finke, Zerui Cheng, Hyunwoo Park, Francesco Fournier-Facio, John Wydallis, Mark Nandor, Ankit Singh, Tim Gehrunger
, Jiaqi Cai, Ben McCarty, Darling Duclosel, Jungbae Nam, Jennifer Zampese, Ryan G. Hoerr, Aras Bacho, Gautier Abou Loume, Abdallah Galal, Hangrui Cao, Alexis C. Garretson, Damien Sileo, Qiuyu Ren, Doru Cojoc, Pavel Arkhipov, Usman Qazi, Lianghui Li, Sumeet Motwani, Christian Schröder de Witt, Edwin Taylor, Johannes Veith, Eric Singer, Taylor D. Hartman, Paolo Rissone, Jaehyeok Jin, Jack Wei Lun Shi, Chris G. Willcocks, Joshua Robinson, Aleksandar Mikov, Ameya Prabhu, Longke Tang, Xavier Alapont, Justine Leon Uro, Kevin Zhou, Emily de Oliveira Santos, Andrey Pupasov Maksimov, Edward Vendrow, Kengo Zenitani, Julien Guillod, Yuqi Li, Joshua Vendrow, Vladyslav Kuchkin, Ng Ze-An:
Humanity's Last Exam. CoRR abs/2501.14249 (2025)- 2024
- [c9]Muhammed AbuOdeh, Long Phan, Ahmed Farouk Zakaria Elshabrawy, Nizar Habash:
Palmyra 3.0: A User-Friendly Cloud-Based Platform for Morphology and Dependency Syntax Annotation. LREC/COLING 2024: 12585-12591 - [c8]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:
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal. ICML 2024 - [c7]Richard Ren, Steven Basart, Adam Khoja, Alice Gatti, Long Phan, Xuwang Yin, Mantas Mazeika, Alexander Pan, Gabriel Mukobi, Ryan H. Kim, Stephen Fitz, Dan Hendrycks:
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? NeurIPS 2024 - [c6]Andy Zou, Long Phan, Justin Wang, Derek Duenas, Maxwell Lin, Maksym Andriushchenko, J. Zico Kolter, Matt Fredrikson, Dan Hendrycks:
Improving Alignment and Robustness with Circuit Breakers. NeurIPS 2024 - [i15]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:
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal. CoRR abs/2402.04249 (2024) - [i14]Phuc Phan, Hieu Tran, Long Phan:
Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation. CoRR abs/2402.14874 (2024) - [i13]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:
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning. CoRR abs/2403.03218 (2024) - [i12]Andy Zou, Long Phan, Justin Wang, Derek Duenas, Maxwell Lin, Maksym Andriushchenko, Rowan Wang, Zico Kolter, Matt Fredrikson, Dan Hendrycks:
Improving Alignment and Robustness with Circuit Breakers. CoRR abs/2406.04313 (2024) - [i11]Richard Ren, Steven Basart, Adam Khoja, Alice Gatti, Long Phan, Xuwang Yin, Mantas Mazeika, Alexander Pan, Gabriel Mukobi, Ryan H. Kim, Stephen Fitz, Dan Hendrycks:
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? CoRR abs/2407.21792 (2024) - [i10]Rishub Tamirisa, Bhrugu Bharathi, Long Phan, Andy Zhou, Alice Gatti, Tarun Suresh, Maxwell Lin, Justin Wang, Rowan Wang, Ron Arel, Andy Zou, Dawn Song, Bo Li, Dan Hendrycks, Mantas Mazeika:
Tamper-Resistant Safeguards for Open-Weight LLMs. CoRR abs/2408.00761 (2024) - 2023
- [c5]Long Phan, Tai Dang, Hieu Tran, Trieu H. Trinh, Vy Phan, Lam D. Chau, Minh-Thang Luong:
Enriching Biomedical Knowledge for Low-resource Language Through Large-scale Translation. EACL 2023: 3123-3134 - [i9]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, Sasha Luccioni, Yacine Jernite:
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. CoRR abs/2303.03915 (2023) - [i8]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:
Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages. CoRR abs/2303.13592 (2023) - [i7]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:
Representation Engineering: A Top-Down Approach to AI Transparency. CoRR abs/2310.01405 (2023) - 2022
- [c4]Long Phan, Hieu Tran, Hieu Nguyen, Trieu H. Trinh:
ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation. NAACL-HLT (Student Research Workshop) 2022: 136-142 - [c3]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:
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. NeurIPS 2022 - [i6]Long Phan, Hieu Tran, Hieu Nguyen, Trieu H. Trinh:
ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation. CoRR abs/2205.06457 (2022) - [i5]Long Phan, Tai Dang, Hieu Tran, Vy Phan, Lam D. Chau, Trieu H. Trinh:
Enriching Biomedical Knowledge for Vietnamese Low-resource Language Through Large-Scale Translation. CoRR abs/2210.05598 (2022) - [i4]Chinh Ngo, Trieu H. Trinh, Long Phan, Hieu Tran, Tai Dang, Hieu Nguyen, Minh Nguyen, Minh-Thang Luong:
MTet: Multi-domain Translation for English and Vietnamese. CoRR abs/2210.05610 (2022) - 2021
- [c2]Hieu Tran, Long Phan, James T. Anibal, Binh T. Nguyen, Truong-Son Nguyen:
SPBERT: an Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs. ICONIP (1) 2021: 512-523 - [c1]Hieu Tran, Cuong V. Dinh, Long Phan, Son Truong Nguyen:
Hierarchical Transformer Encoders for Vietnamese Spelling Correction. IEA/AIE (1) 2021: 547-556 - [i3]Hieu Tran, Long Phan, James T. Anibal, Binh T. Nguyen, Truong-Son Nguyen:
SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs. CoRR abs/2106.09997 (2021) - [i2]Hieu Nguyen, Long Phan, James T. Anibal, Alec Peltekian, Hieu Tran:
VieSum: How Robust Are Transformer-based Models on Vietnamese Summarization? CoRR abs/2110.04257 (2021) - 2020
- [i1]Trung-Hieu Tran, Long Phan, Truong-Son Nguyen, Tien-Huy Nguyen:
Leveraging Transfer Learning for Reliable Intelligence Identification on Vietnamese SNSs (ReINTEL). CoRR abs/2012.07557 (2020)
Coauthor Index
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