"Stop Asian Hate!" : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic. - Huy Nghiem; Fred Morstatter (CoRR, 2021)

Detecting cryptocurrency pump-and-dump frauds using market and social signals. - Huy Nghiem; Goran Muric; Fred Morstatter; Emilio Ferrara (Expert Syst. Appl., 2021)

"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition. - Huy Nghiem; Umang Gupta; Fred Morstatter (EACL (1), 2024)

PEDANTS: Cheap but Effective and Interpretable Answer Equivalence. - Zongxia Li; Ishani Mondal; Huy Nghiem; Yijun Liang; Jordan L. Boyd-Graber (EMNLP (Findings), 2024)

HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models. - Huy Nghiem; Hal Daumé III (EMNLP (Findings), 2024)

"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 001; Hal Daumé III (EMNLP, 2024)

PANDA (Pedantic ANswer-correctness Determination and Adjudication): Improving Automatic Evaluation for Question Answering and Text Generation. - Zongxia Li; Ishani Mondal; Yijun Liang; Huy Nghiem; Jordan Lee Boyd-Graber (CoRR, 2024)

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 (CVPR Workshops, 2025)

Benchmark Evaluations, Applications, and Challenges of Large Vision Language Models: A Survey. - Zongxia Li; Xiyang Wu; Hongyang Du; Huy Nghiem; Guangyao Shi (CoRR, 2025)

Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment. - Melissa Kazemi Rad; Huy Nghiem; Andy Luo; Sahil Wadhwa; Mohammad Sorower; Stephen Rawls (CoRR, 2025)

VietMix: A Naturally Occurring Vietnamese-English Code-Mixed Corpus with Iterative Augmentation for Machine Translation. - Hieu Tran; Phuong-Anh Nguyen-Le; Huy Nghiem; Quang-Nhan Nguyen; Wei Ai; Marine Carpuat (CoRR, 2025)