Leveraging Transfer Learning for Reliable Intelligence Identification on Vietnamese SNSs (ReINTEL). - Trung-Hieu Tran; Long Phan; Truong-Son Nguyen; Tien-Huy Nguyen (CoRR, 2020)

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 001; Truong-Son Nguyen (ICONIP (1), 2021)

Hierarchical Transformer Encoders for Vietnamese Spelling Correction. - Hieu Tran; Cuong V. Dinh; Long Phan; Son Truong Nguyen (IEA/AIE (1), 2021)

VieSum: How Robust Are Transformer-based Models on Vietnamese Summarization? - Hieu Nguyen; Long Phan; James T. Anibal; Alec Peltekian; Hieu Tran (CoRR, 2021)

ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation. - Long Phan; Hieu Tran; Hieu Nguyen; Trieu H. Trinh (NAACL-HLT (Student Research Workshop), 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)

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)

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 Low-resource Language Through Large-scale Translation. - Long Phan; Tai Dang; Hieu Tran; Trieu H. Trinh; Vy Phan; Lam D. Chau; Minh-Thang Luong (EACL, 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)

Representation Engineering: A Top-Down Approach to AI Transparency. - Andy Zou; Long Phan; Sarah Li Chen; James Campbell; Phillip Guo; Richard Ren; Alexander Pan; Xuwang Yin; Mantas Mazeika; Ann-Kathrin Dombrowski; Shashwat Goel; Nathaniel Li; et al. (CoRR, 2023)

Palmyra 3.0: A User-Friendly Cloud-Based Platform for Morphology and Dependency Syntax Annotation. - Muhammed AbuOdeh; Long Phan; Ahmed Farouk Zakaria Elshabrawy; Nizar Habash (LREC/COLING, 2024)

HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal. - Mantas Mazeika; Long Phan; Xuwang Yin; Andy Zou; Zifan Wang 001; Norman Mu; Elham Sakhaee; Nathaniel Li; Steven Basart; Bo Li 026; David A. Forsyth; Dan Hendrycks (ICML, 2024)

Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? - 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 (NeurIPS, 2024)

Improving Alignment and Robustness with Circuit Breakers. - Andy Zou; Long Phan; Justin Wang; Derek Duenas; Maxwell Lin; Maksym Andriushchenko; J. Zico Kolter; Matt Fredrikson; Dan Hendrycks (NeurIPS, 2024)

Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation. - Phuc Phan; Hieu Tran; Long Phan (CoRR, 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; et al. (CoRR, 2024)

Improving Alignment and Robustness with Circuit Breakers. - Andy Zou; Long Phan; Justin Wang; Derek Duenas; Maxwell Lin; Maksym Andriushchenko; Rowan Wang; Zico Kolter; Matt Fredrikson; Dan Hendrycks (CoRR, 2024)

Tamper-Resistant Safeguards for Open-Weight LLMs. - Rishub Tamirisa; Bhrugu Bharathi; Long Phan; Andy Zhou; Alice Gatti; Tarun Suresh; Maxwell Lin; Justin Wang; Rowan Wang; Ron Arel; Andy Zou; Dawn Song; et al. (ICLR, 2025)

Humanity's Last Exam. - Long Phan; Alice Gatti; Ziwen Han; Nathaniel Li; Josephina Hu; Hugh Zhang; Sean Shi; Michael Choi; Anish Agrawal; Arnav Chopra; Adam Khoja; Ryan Kim; et al. (CoRR, 2025)

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs. - Mantas Mazeika; Xuwang Yin; Rishub Tamirisa; Jaehyuk Lim; Bruce W. Lee; Richard Ren; Long Phan; Norman Mu; Adam Khoja; Oliver Zhang; Dan Hendrycks (CoRR, 2025)

Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark. - Jasper Götting; Pedro Medeiros; Jon G. Sanders; Nathaniel Li; Long Phan; Karam Elabd; Lennart Justen; Dan Hendrycks; Seth Donoughe (CoRR, 2025)

TextQuests: How Good are LLMs at Text-Based Video Games? - Long Phan; Mantas Mazeika; Andy Zou; Dan Hendrycks (CoRR, 2025)