---
title: "Jaehong Yoon — author profile and papers · Vision & language"
description: "Jaehong Yoon, Nanyang Technological University: 2 papers on Elamur Research (2023–2026), h-index 12 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/jaehong-yoon/"
---
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# Jaehong Yoon

Jaehong Yoon has 2 papers in our library, in 2023–2026, most of them on [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Mohit Bansal](https://md.research.elamur.ai/free/en/authors/mohit-bansal/), [Chelsea Finn](https://md.research.elamur.ai/free/en/authors/chelsea-finn/), [David Wan](https://md.research.elamur.ai/free/en/authors/david-wan/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5054456399) · [ORCID](https://orcid.org/0000-0002-9653-9590) · [**h-index 12**](https://openalex.org/authors/A5054456399) · [53 works](https://openalex.org/works?filter=author.id:A5054456399) · [647 citations](https://openalex.org/works?filter=author.id:A5054456399&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jaehong-yoon/#papers) · [🔗 Cited 232 times in our library](https://md.research.elamur.ai/free/en/authors/jaehong-yoon/cited-by/) · [22 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7344](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7344)

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

## Affiliations

[🎓**Nanyang Technological University** Singapore · Singapore 2025–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**Chung-Ang University** Seoul · South Korea 2025–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/chung-ang-university/) · [🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 2023–2025 · 12 papers](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/) · [🎓**Korea Advanced Institute of Science and Technology** Daejeon · South Korea 2017–2023 · 9 papers](https://md.research.elamur.ai/free/en/universities/korea-advanced-institute-of-science-and-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 3 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/)

🧭 Topics 3 Research subjects and languages the work is about.[Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [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/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jaehong-yoon/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jaehong-yoon/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Analyzing and Mitigating Object Hallucination in Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2023-analyzing-mitigating-object-hallucination-large/)** *(2023 · 134 citations)* Large vision-language models (LVLMs) often describe objects that are not present in the image. This object hallucination undermines downstream uses such as robotics, medical imaging and human-computer interaction. Earlier fixes either targeted small multimodal models or required expensive curated fine-tuning data.…
2. **[DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/sivakumaran-2026-dart-leveraging-multi-agent-disagreement/)** *(2026 · 1 citation)* Debates between vision-language models (VLMs) often stall because the agents share similar perceptual blind spots and bring no new evidence.

## All works

24 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. [**Analyzing and Mitigating Object Hallucination in Large Vision-Language Models arXiv:2310.00754**Yiyang Zhou, Chenhang Cui, Jaehong Yoon, et al.*2023 · 134 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-analyzing-mitigating-object-hallucination-large/)
2. **[VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos ↗](https://doi.org/10.1109/cvpr52734.2025.00311) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ziyang Wang et al.*2025 · 91 citations*
3. **[Multimodal Representation Learning by Alternating Unimodal Adaptation ↗](https://doi.org/10.1109/cvpr52733.2024.02592) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xiaohui Zhang et al.*2024 · 66 citations*
4. **[Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences ↗](https://aclanthology.org/2024.acl-long.25/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xiyao Wang et al.*2024 · 48 citations*
5. **[CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion ↗](https://arxiv.org/abs/2402.05889) arXiv (Cornell University) · no summary yet**Shoubin Yu, Jaehong Yoon, Mohit Bansal*2024 · 13 citations*
6. **[Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning ↗](https://aclanthology.org/2025.emnlp-main.1428/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ziyang Wang et al.*2025 · 9 citations*
7. **[SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation ↗](https://arxiv.org/abs/2410.12761) arXiv (Cornell University) · no summary yet**Jaehong Yoon et al.*2024 · 8 citations*
8. **[EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents ↗](https://arxiv.org/abs/2403.12014) arXiv (Cornell University) · no summary yet**Abhay Zala et al.*2024 · 7 citations*
9. **[ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models ↗](https://arxiv.org/abs/2310.02998) arXiv (Cornell University) · no summary yet**Yi-Lin Sung, Jaehong Yoon, Mohit Bansal*2023 · 7 citations*
10. **[MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation ↗](https://aclanthology.org/2025.findings-emnlp.1233/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Shoubin Yu et al.*2025 · 5 citations*
11. **[SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data ↗](https://doi.org/10.52202/079017-1217) neural information processing systems · no summary yet**Jialu Li et al.*2024 · 4 citations*
12. **[Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection ↗](https://arxiv.org/abs/2410.10636) arXiv (Cornell University) · no summary yet**Adyasha Maharana et al.*2024 · 3 citations*
13. **[Glider: Global and Local Instruction-Driven Expert Router ↗](https://aclanthology.org/2025.emnlp-main.319/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Pingzhi Li et al.*2025 · 2 citations*
14. **[RACCooN: A Versatile Instructional Video Editing Framework with Auto-Generated Narratives ↗](https://arxiv.org/abs/2405.18406) arXiv (Cornell University) · no summary yet**Jaehong Yoon, Shoubin Yu, Mohit Bansal*2024 · 2 citations*
15. **[DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/sivakumaran-2026-dart-leveraging-multi-agent-disagreement/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Nithin Sivakumaran, Justin Chen, David Wan, et al.*2026 · 1 citation*
16. **[Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement ↗](https://aclanthology.org/2026.findings-acl.1817/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Daeun Lee et al.*2026 · 1 citation*
17. **[Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning ↗](https://aclanthology.org/2025.findings-emnlp.1001/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Daeun Lee et al.*2025 · 1 citation*
18. **[RSQ: Learning from Important Tokens Leads to Better Quantized LLMs ↗](https://arxiv.org/abs/2503.01820) arXiv (Cornell University) · no summary yet**Yi-Lin Sung et al.*2025 · 1 citation*
19. **[Hierarchy-Aware Multimodal Unlearning for Medical AI ↗](https://arxiv.org/abs/2512.09867) arXiv (Cornell University) · no summary yet**Fengli Wu et al.*2025 · 1 citation*
20. **[Planning with Sketch-Guided Verification for Physics-Aware Video Generation ↗](https://arxiv.org/abs/2511.17450) arXiv (Cornell University) · no summary yet**Huang, Yidong et al.*2025 · 1 citation*
21. **[RACCooN: Versatile Instructional Video Editing with Auto-Generated Narratives ↗](https://aclanthology.org/2025.emnlp-main.1420/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jaehong Yoon, Shoubin Yu, Mohit Bansal*2025 · 1 citation*
22. **[Self-Refining Video Sampling ↗](https://arxiv.org/abs/2601.18577) arXiv (Cornell University) · no summary yet**Sangwon Jang et al.*2026*
23. **[Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization ↗](https://arxiv.org/abs/2504.08641) arXiv (Cornell University) · no summary yet**Jialu Li et al.*2025*
24. **[EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance ↗](https://arxiv.org/abs/2505.21876) arXiv (Cornell University) · no summary yet**Zun Wang et al.*2025*

## Co-authors here

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

- [Mohit Bansal](https://md.research.elamur.ai/free/en/authors/mohit-bansal/) ×2
- [Chelsea Finn](https://md.research.elamur.ai/free/en/authors/chelsea-finn/)
- [David Wan](https://md.research.elamur.ai/free/en/authors/david-wan/)
- [Elias Stengel-Eskin](https://md.research.elamur.ai/free/en/authors/elias-stengel-eskin/)
- [Huaxiu Yao](https://md.research.elamur.ai/free/en/authors/huaxiu-yao/)
- [Justin Chen](https://md.research.elamur.ai/free/en/authors/justin-chen/)
- [Yiyang Zhou](https://md.research.elamur.ai/free/en/authors/yiyang-zhou/)
- [Yue Zhang](https://md.research.elamur.ai/free/en/authors/yue-zhang/)

## Venues

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

- Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing ×3
- Findings of the Association for Computational Linguistics: EMNLP 2025 ×2
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
- [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/)
- Findings of the Association for Computational Linguistics: ACL 2026
- Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- neural information processing systems

## Cited by

Papers of our library cite their works 232 times (of the 149,439 papers whose bibliographies we read); [45 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jaehong-yoon/cited-by/).

Updated 2 November 2026