Jiwan Chung

According to our database, Jiwan Chung authored at least 27 papers between 2020 and 2025.

Collaborative distances:

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

2025

Don't Look Only Once: Towards Multimodal Interactive Reasoning with Selective Visual Revisitation.

Jiwan Chung, Junhyeok Kim, Siyeol Kim, Jaeyoung Lee, Min Soo Kim, Youngjae Yu

CoRR, May, 2025

Explain with Visual Keypoints Like a Real Mentor! A Benchmark for Multimodal Solution Explanation.

Jaewoo Park, Jungyang Park, Dongju Jang, Jiwan Chung, Byungwoo Yoo, Jaewoo Shin, Seonjoon Park, Taehyeong Kim, Youngjae Yu

CoRR, April, 2025

VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms.

Seungwon Lim, Sungwoong Kim, Jihwan Yu, Sungjae Lee, Jiwan Chung, Youngjae Yu

CoRR, March, 2025

GuideDog: A Real-World Egocentric Multimodal Dataset for Blind and Low-Vision Accessibility-Aware Guidance.

Junhyeok Kim, Jaewoo Park, Junhee Park, Sangeyl Lee, Jiwan Chung, Jisung Kim, Ji Hoon Joung, Youngjae Yu

CoRR, March, 2025

Teaching Metric Distance to Autoregressive Multimodal Foundational Models.

Jiwan Chung, Saejin Kim, Yongrae Jo, Jaewoo Park, Dongjun Min, Youngjae Yu

CoRR, March, 2025

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation.

Giyeong Oh, Saejin Kim, Woohyun Cho, Sangkyu Lee, Jiwan Chung, Dokyung Song, Youngjae Yu

CoRR, January, 2025

Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics.

Seungbeen Lee, Seungwon Lim, Seungju Han, Giyeong Oh, Hyungjoo Chae, Jiwan Chung, Minju Kim, Beong-woo Kwak, Yeonsoo Lee, Dongha Lee, Jinyoung Yeo, Youngjae Yu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

EgoSpeak: Learning When to Speak for Egocentric Conversational Agents in the Wild.

Junhyeok Kim, Min Soo Kim, Jiwan Chung, Jungbin Cho, Jisoo Kim, Sungwoong Kim, Gyeongbo Sim, Youngjae Yu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Speaking Beyond Language: A Large-Scale Multimodal Dataset for Learning Nonverbal Cues from Video-Grounded Dialogues.

Youngmin Kim, Jiwan Chung, Jisoo Kim, Sunghyun Lee, Sangkyu Lee, Junhyeok Kim, Cheoljong Yang, Youngjae Yu

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

MASS: Overcoming Language Bias in Image-Text Matching.

Jiwan Chung, Seungwon Lim, Sangkyu Lee, Youngjae Yu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

CANVAS: Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction.

Suhwan Choi, Yongjun Cho, Minchan Kim, Jaeyoon Jung, Myunchul Joe, Yubeen Park, Minseo Kim, Sungwoong Kim, Sungjae Lee, Hwiseong Park, Jiwan Chung, Youngjae Yu

CoRR, 2024

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models.

Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim, Kai Tzu-iunn Ong, Beong-woo Kwak, Moohyeon Kim, Seonghwan Kim, Taeyoon Kwon, Jiwan Chung, Youngjae Yu, Jinyoung Yeo

CoRR, 2024

Towards Visual Text Design Transfer Across Languages.

Yejin Choi, Jiwan Chung, Sumin Shim, Giyeong Oh, Youngjae Yu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding.

Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you!

Jiwan Chung, Seungwon Lim, Jaehyun Jeon, Seungbeen Lee, Youngjae Yu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models.

Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim, Kai Tzu-iunn Ong, Beong-woo Kwak, Moohyeon Kim, Sunghwan Kim, Taeyoon Kwon, Jiwan Chung, Youngjae Yu, Jinyoung Yeo

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Long Story Short: a Summarize-then-Search Method for Long Video Question Answering.

Jiwan Chung, Youngjae Yu

CoRR, 2023

Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms.

Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

VLIS: Unimodal Language Models Guide Multimodal Language Generation.

Jiwan Chung, Youngjae Yu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning.

Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Long Story Short: a Summarize-then-Search Method for Prompt-Based Long Video Question Answering.

Jiwan Chung, Youngjae Yu

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Multimodal Knowledge Alignment with Reinforcement Learning.

Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi

CoRR, 2022

2021

Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning.

Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Gal Chechik, Yale Song

CoRR, 2021

ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning.

Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Gal Chechik, Yale Song

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Transitional Adaptation of Pretrained Models for Visual Storytelling.

Youngjae Yu, Jiwan Chung, Heeseung Yun, Jongseok Kim, Gunhee Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Character Grounding and Re-identification in Story of Videos and Text Descriptions.

Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung, Gunhee Kim

Proceedings of the Computer Vision - ECCV 2020, 2020