---
title: "James Y. Huang — author profile and papers in our library"
description: "James Y. Huang, University of California, Davis: 3 papers on Elamur Research (2024–2026), h-index 5 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/james-y-huang/"
---
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# James Y. Huang

James Y. Huang has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Fei Wang](https://md.research.elamur.ai/free/en/authors/fei-wang/), [Hoifung Poon](https://md.research.elamur.ai/free/en/authors/hoifung-poon/), [Muhao Chen](https://md.research.elamur.ai/free/en/authors/muhao-chen/).

3 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5040331608) · [**h-index 5**](https://openalex.org/authors/A5040331608) · [18 works](https://openalex.org/works?filter=author.id:A5040331608) · [82 citations](https://openalex.org/works?filter=author.id:A5040331608&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/james-y-huang/#papers) · [🔗 Cited 130 times in our library](https://md.research.elamur.ai/free/en/authors/james-y-huang/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8061](https://md.research.elamur.ai/free/en/paper-stars/page/81/#star-8061)

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=James+Y.+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=James+Y.+Huang) · [dblp](https://dblp.org/search?q=James+Y.+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=James+Y.+Huang)

## Affiliations

[🎓**University of California, Davis** Davis · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-davis/) · [🎓**University of Southern California** Los Angeles · United States 2022–2025 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🎓**University of California, Los Angeles** Los Angeles · United States 2021–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/)

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 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/james-y-huang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/james-y-huang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/james-y-huang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[mDPO: Conditional Preference Optimization for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-mdpo-conditional-preference-optimization-multimodal/)** *(2024 · 50 citations)* Applying DPO to multimodal LLMs often yields inconsistent gains, and earlier work mostly blamed the quality of preference data.
2. **[DeAL: Decoding-time Alignment for Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2025-deal-decoding-time-alignment-large/)** *(2025 · 36 citations)* The paper argues that alignment learned during training (e.g., RLHF) has two weaknesses. It locks models into a developer's fixed, supposedly universal preferences, and it can be bypassed, for example through jailbreaks. The authors propose DeAL, which moves alignment to inference time. Decoding is treated as an…
3. **[MetaScale: Test-Time Scaling with Evolving Meta-Thoughts](https://md.research.elamur.ai/free/en/papers/liu-2026-metascale-test-time-scaling-evolving/)** *(2026 · 7 citations)* LLMs often tackle hard problems by replaying reasoning patterns absorbed during training rather than deliberately choosing a suitable way to think.

## All works

6 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. **[mDPO: Conditional Preference Optimization for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-mdpo-conditional-preference-optimization-multimodal/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fei Wang, Wenxuan Zhou, James Y. Huang, et al.*2024 · 50 citations*
2. **[MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding ↗](https://arxiv.org/abs/2406.09411) arXiv (Cornell University) · no summary yet**Fei Wang et al.*2024 · 48 citations*
3. **[DeAL: Decoding-time Alignment for Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2025-deal-decoding-time-alignment-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**James Y. Huang, Sailik Sengupta, Daniele Bonadiman, et al.*2025 · 36 citations*
4. **[Offset Unlearning for Large Language Models ↗](https://arxiv.org/abs/2404.11045) arXiv (Cornell University) · no summary yet**James Y. Huang et al.*2024 · 17 citations*
5. **[MetaScale: Test-Time Scaling with Evolving Meta-Thoughts](https://md.research.elamur.ai/free/en/papers/liu-2026-metascale-test-time-scaling-evolving/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qin Liu, Wenxuan Zhou, Nan Xu, et al.*2026 · 7 citations*
6. **[Video Models Can Reason with Verifiable Rewards ↗](https://arxiv.org/abs/2605.15458) arXiv (Cornell University) · no summary yet**Tinghui Zhu et al.*2026*

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Fei Wang](https://md.research.elamur.ai/free/en/authors/fei-wang/) ×2
- [Hoifung Poon](https://md.research.elamur.ai/free/en/authors/hoifung-poon/) ×2
- [Muhao Chen](https://md.research.elamur.ai/free/en/authors/muhao-chen/) ×2
- [Nan Xu](https://md.research.elamur.ai/free/en/authors/nan-xu/) ×2
- [Sheng Zhang](https://md.research.elamur.ai/free/en/authors/sheng-zhang/) ×2
- [Wenxuan Zhou](https://md.research.elamur.ai/free/en/authors/wenxuan-zhou/) ×2
- [Dan Roth](https://md.research.elamur.ai/free/en/authors/dan-roth/)
- [Daniele Bonadiman](https://md.research.elamur.ai/free/en/authors/daniele-bonadiman/)
- [Katrin Kirchhoff](https://md.research.elamur.ai/free/en/authors/katrin-kirchhoff/)
- [Nikolaos Pappas](https://md.research.elamur.ai/free/en/authors/nikolaos-pappas/)
- [Qin Liu](https://md.research.elamur.ai/free/en/authors/qin-liu/)
- [Saab Mansour](https://md.research.elamur.ai/free/en/authors/saab-mansour/)

## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 130 times (of the 149,439 papers whose bibliographies we read); [36 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/james-y-huang/cited-by/).

Updated 30 October 2026
