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Huy Nghiem

Huy Nghiem has 3 papers in our library, in 2025–2026, most of them on Bias, fairness & safety, Machine translation, Language models & pretraining; often with Hal Daumé Iii, Hieu Tran, Marine Carpuat.

3 papers in our library · 2025–2026

OpenAlex · h-index 8 · 35 works · 248 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 11 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9750

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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.

 Works by year

2020s

 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 (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 (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 (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 AlignmentarXiv:2501.13080Melissa Kazemi Rad, Huy Nghiem, Andy Luo, et al.2025 · 9 citations
  2. SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones? ↗arXiv:2605.30329 · no summary yetSy-Tuyen Ho et al.2026 · 2 citations

 Co-authors here

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

Venues

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

 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 →.

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