| 2026 | ACL | Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style. | Connor Baumler, Calvin Bao, Huy Nghiem, Xinchen Yang, Marine Carpuat, Hal Daum III |
| 2026 | ACL | SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models. | Huy Nghiem, Advik Sachdeva, Hal Daum III |
| 2026 | EACL | VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation. | Hieu Tran, Phuong-Anh Nguyen-Le, Huy Nghiem, Quang-Nhan Nguyen, Wei Ai, Marine Carpuat |
| 2025 | CVPR | A Survey of State of the Art Large Vision Language Models: Benchmark Evaluations and Challenges. | Zongxia Li, Xiyang Wu, Hongyang Du, Fuxiao Liu, Huy Nghiem, Guangyao Shi |
| 2025 | EMNLP | 'Rich Dad, Poor Lad': How do Large Language Models Contextualize Socioeconomic Factors in College Admission ? | Huy Nghiem, Phuong-Anh Nguyen-Le, John Prindle, Rachel Rudinger, Hal Daum III |
| 2024 | EACL | "Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition. | Huy Nghiem, Umang Gupta, Fred Morstatter |
| 2024 | EMNLP | PEDANTS: Cheap but Effective and Interpretable Answer Equivalence. | Zongxia Li, Ishani Mondal, Huy Nghiem, Yijun Liang, Jordan L. Boyd-Graber |
| 2024 | EMNLP | HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models. | Huy Nghiem, Hal Daum III |
| 2024 | EMNLP | "You Gotta be a Doctor, Lin" : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations. | Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daum III |