🧑‍🔬 Jaehong Yoon

🏛️ Affiliations

🎓Nanyang Technological UniversitySingapore · Singapore2025–2026 · 9 paperscurrent🎓Chung-Ang UniversitySeoul · South Korea2025–2026 · 6 paperscurrent🎓University of North Carolina at Chapel HillChapel Hill · United States2023–2025 · 12 papers🎓Korea Advanced Institute of Science and TechnologyDaejeon · South Korea2017–2023 · 9 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Analyzing and Mitigating Object Hallucination in Large Vision-Language Models (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 (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 ModelsarXiv:2310.00754Yiyang Zhou, Chenhang Cui, Jaehong Yoon, et al.2023 · 134 citations
2. VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZiyang Wang et al.2025 · 91 citations
3. Multimodal Representation Learning by Alternating Unimodal Adaptation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXiaohui Zhang et al.2024 · 66 citations
4. Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXiyao Wang et al.2024 · 48 citations
5. CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion ↗arXiv (Cornell University) · no summary yetShoubin Yu, Jaehong Yoon, Mohit Bansal2024 · 13 citations
6. Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetZiyang Wang et al.2025 · 9 citations
7. SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation ↗arXiv (Cornell University) · no summary yetJaehong Yoon et al.2024 · 8 citations
8. EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents ↗arXiv (Cornell University) · no summary yetAbhay Zala et al.2024 · 7 citations
9. ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models ↗arXiv (Cornell University) · no summary yetYi-Lin Sung, Jaehong Yoon, Mohit Bansal2023 · 7 citations
10. MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetShoubin Yu et al.2025 · 5 citations
11. SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data ↗neural information processing systems · no summary yetJialu Li et al.2024 · 4 citations
12. Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection ↗arXiv (Cornell University) · no summary yetAdyasha Maharana et al.2024 · 3 citations
13. Glider: Global and Local Instruction-Driven Expert Router ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetPingzhi Li et al.2025 · 2 citations
14. RACCooN: A Versatile Instructional Video Editing Framework with Auto-Generated Narratives ↗arXiv (Cornell University) · no summary yetJaehong Yoon, Shoubin Yu, Mohit Bansal2024 · 2 citations
15. DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal ReasoningConference of the European Chapter of the Association for Computational Linguistics (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 ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetDaeun Lee et al.2026 · 1 citation
17. Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetDaeun Lee et al.2025 · 1 citation
18. RSQ: Learning from Important Tokens Leads to Better Quantized LLMs ↗arXiv (Cornell University) · no summary yetYi-Lin Sung et al.2025 · 1 citation
19. Hierarchy-Aware Multimodal Unlearning for Medical AI ↗arXiv (Cornell University) · no summary yetFengli Wu et al.2025 · 1 citation
20. Planning with Sketch-Guided Verification for Physics-Aware Video Generation ↗arXiv (Cornell University) · no summary yetHuang, Yidong et al.2025 · 1 citation
21. RACCooN: Versatile Instructional Video Editing with Auto-Generated Narratives ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetJaehong Yoon, Shoubin Yu, Mohit Bansal2025 · 1 citation
22. Self-Refining Video Sampling ↗arXiv (Cornell University) · no summary yetSangwon Jang et al.2026
23. Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization ↗arXiv (Cornell University) · no summary yetJialu Li et al.2025
24. EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance ↗arXiv (Cornell University) · no summary yetZun Wang et al.2025

🤝 Co-authors here

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

• Mohit Bansal ×2
• Chelsea Finn
• David Wan
• Elias Stengel-Eskin
• Huaxiu Yao
• Justin Chen
• Yiyang Zhou
• 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): 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 →.

Updated 2 November 2026

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