Huy Nghiem

According to our database, Huy Nghiem authored at least 19 papers between 2021 and 2026.

Collaborative distances:

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

2026

SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones?

Sy-Tuyen Ho, Minghui Liu, Huy Nghiem, Furong Huang

CoRR, May, 2026

Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring.

Huy Nghiem, Phuong-Anh Nguyen-Le, Sy-Tuyen Ho, Hal Daumé III

CoRR, April, 2026

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

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models.

Huy Nghiem, Advik Sachdeva, Hal Daumé III

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

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 Daumé III

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Balancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment.

Huy Nghiem, Swetasudha Panda, Devashish Khatwani, Huy V. Nguyen, Krishnaram Kenthapadi, Hal Daumé III

CoRR, December, 2025

ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents.

Manasi Sharma, Chen Bo Calvin Zhang, Chaithanya Bandi, Clinton Wang, Ankit Aich, Huy Nghiem, Tahseen Rabbani, Ye Htet, Brian Jang, Sumana Basu, Aishwarya Balwani, Denis Peskoff, Marcos Ayestaran, Sean M. Hendryx, Brad Kenstler, Bing Liu

CoRR, November, 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, May, 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 Shahed Sorower, Stephen Rawls

CoRR, January, 2025

Benchmark Evaluations, Applications, and Challenges of Large Vision Language Models: A Survey.

Zongxia Li, Xiyang Wu, Hongyang Du, Huy Nghiem, Guangyao Shi

CoRR, January, 2025

'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 Daumé III

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

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

"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 Daumé III

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models.

Huy Nghiem, Hal Daumé III

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

PEDANTS: Cheap but Effective and Interpretable Answer Equivalence.

Zongxia Li, Ishani Mondal, Huy Nghiem, Yijun Liang, Jordan L. Boyd-Graber

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition.

Huy Nghiem, Umang Gupta, Fred Morstatter

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2021

Detecting cryptocurrency pump-and-dump frauds using market and social signals.

Huy Nghiem, Goran Muric, Fred Morstatter, Emilio Ferrara

Expert Syst. Appl., 2021

"Stop Asian Hate!" : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic.

Huy Nghiem, Fred Morstatter

CoRR, 2021