Janghan Yoon

According to our database, Janghan Yoon authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Do MLLMs Capture How Interfaces Guide User Behavior? A Benchmark for Multimodal UI/UX Design Understanding.

Jaehyun Jeon, Min Soo Kim, Janghan Yoon, Sumin Shim, Yejin Choi, Hanbin Kim, Dae Hyun Kim, Youngjae Yu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

A11YN: aligning LLMs for accessible web UI code generation.

Janghan Yoon, Jaegwan Cho, Junhyeok Kim, Jiwan Chung, Jaehyun Jeon, Youngjae Yu

CoRR, October, 2025

G-FOCUS: Towards a Robust Method for Assessing UI Design Persuasiveness.

Jaehyun Jeon, Jang Han Yoon, Min Soo Kim, Sumin Shim, Yejin Choi, Hanbin Kim, Youngjae Yu

CoRR, May, 2025

C²: Scalable Auto-Feedback for LLM-based Chart Generation.

Woosung Koh, Jang Han Yoon, Minhyung Lee, Youngjin Song, Jaegwan Cho, Jaehyun Kang, Taehyeon Kim, Se-Young Yun, Youngjae Yu, Bongshin Lee

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Zero-shot Multimodal Document Retrieval via Cross-modal Question Generation.

Yejin Choi, Jae-Woo Park, Janghan Yoon, Saejin Kim, Jaehyun Jeon, Youngjae Yu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Are Any-to-Any Models More Consistent Across Modality Transfers Than Specialists?

Jiwan Chung, Janghan Yoon, Junhyeong Park, Sangeyl Lee, Joowon Yang, Sooyeon Park, Youngjae Yu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

C²: Scalable Auto-Feedback for LLM-based Chart Generation.

Woosung Koh, Jang Han Yoon, Minhyung Lee, Youngjin Song, Jaegwan Cho, Jaehyun Kang, Taehyeon Kim, Se-young Yun, Youngjae Yu, Bongshin Lee

CoRR, 2024