---
title: "Huy Nghiem — author profile and papers · Bias, fairness & safety"
description: "Huy Nghiem, University of Maryland, College Park: 3 papers on Elamur Research (2025–2026), h-index 8 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/huy-nghiem/"
---
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# Huy Nghiem

Huy Nghiem has 3 papers in our library, in 2025–2026, most of them on [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Hal Daumé Iii](https://md.research.elamur.ai/free/en/authors/hal-daume-iii/), [Hieu Tran](https://md.research.elamur.ai/free/en/authors/hieu-tran/), [Marine Carpuat](https://md.research.elamur.ai/free/en/authors/marine-carpuat/).

3 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5111133299) · [**h-index 8**](https://openalex.org/authors/A5111133299) · [35 works](https://openalex.org/works?filter=author.id:A5111133299) · [248 citations](https://openalex.org/works?filter=author.id:A5111133299&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/huy-nghiem/#papers) · [🔗 Cited 11 times in our library](https://md.research.elamur.ai/free/en/authors/huy-nghiem/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9750](https://md.research.elamur.ai/free/en/paper-stars/page/98/#star-9750)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Huy+Nghiem) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Huy+Nghiem) · [dblp](https://dblp.org/search?q=Huy+Nghiem) · [ACL Anthology](https://aclanthology.org/search/?q=Huy+Nghiem)

## Affiliations

[🎓**University of Maryland, College Park** College Park · United States 2023–2026 · 25 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) · [🎓**University of Southern California** Los Angeles · United States 2019–2022 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/)

🧭 Topics 6 Research subjects and languages the work is about.[Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/huy-nghiem/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/huy-nghiem/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment](https://md.research.elamur.ai/free/en/papers/rad-2025-refining-input-guardrails-enhancing-llm/)** *(2025 · 9 citations)* Conversational assistants built on LLMs need an input filter that catches fraudulent requests, illegal-activity requests and jailbreak attempts before they reach the main agent.
2. **[SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models](https://md.research.elamur.ai/free/en/papers/nghiem-2026-smarter-data-efficient-framework-improve/)** *(2026 · 1 citation)* SMARTER is a two-stage framework for toxicity detection in low-data settings. It aims to make LLM-based moderation both accurate and explainable. Two open-source models, COT-T5-XL and Llama-3.1-8B-Instruct, are first primed through LoRA-based SFT on HateCOT. They are then fine-tuned on small K-shot in-domain samples.
3. **[VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation](https://md.research.elamur.ai/free/en/papers/tran-2026-vietmix-naturally-occurring-parallel-corpus/)** *(2026 · 1 citation)* Machine translation systems handle code-mixed text poorly, especially when Vietnamese and English blend within one sentence on social media.

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. [**Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment arXiv:2501.13080**Melissa Kazemi Rad, Huy Nghiem, Andy Luo, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/rad-2025-refining-input-guardrails-enhancing-llm/)
2. **[SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones? ↗](https://arxiv.org/abs/2605.30329) arXiv:2605.30329 · no summary yet**Sy-Tuyen Ho et al.*2026 · 2 citations*
3. **[SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models](https://md.research.elamur.ai/free/en/papers/nghiem-2026-smarter-data-efficient-framework-improve/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huy Nghiem, Advik Sachdeva, Hal Daumé Iii*2026 · 1 citation*
4. **[VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation](https://md.research.elamur.ai/free/en/papers/tran-2026-vietmix-naturally-occurring-parallel-corpus/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hieu Tran, Phuong-Anh Nguyen-Le, Huy Nghiem, et al.*2026 · 1 citation*

## Co-authors here

5 co-authors with a page, the most papers together first.

- [Hal Daumé Iii](https://md.research.elamur.ai/free/en/authors/hal-daume-iii/)
- [Hieu Tran](https://md.research.elamur.ai/free/en/authors/hieu-tran/)
- [Marine Carpuat](https://md.research.elamur.ai/free/en/authors/marine-carpuat/)
- [Sahil Wadhwa](https://md.research.elamur.ai/free/en/authors/sahil-wadhwa/)
- [Wei Ai](https://md.research.elamur.ai/free/en/authors/wei-ai/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)

## Cited by

Papers of our library cite their works 11 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/huy-nghiem/cited-by/).

Updated 31 October 2026
