Youngjae Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
65
Venues
11
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
65 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Do Language Models Associate Sound with Meaning? A Multimodal Study of Sound Symbolism. | Jinhong Jeong, Sunghyun Lee, Jaeyoung Lee, Seonah Han, Youngjae Yu |
| 2026 | AAAI | 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 |
| 2026 | ACL | Right at My Level: A Unified Multilingual Framework for Proficiency-Aware Text Simplification. | Jinhong Jeong, Junghun Park, Youngjae Yu |
| 2026 | ACL | 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 |
| 2026 | ACL | DUSK: Do Not Unlearn Shared Knowledge. | Wonje Jeung, Sangyeon Yoon, Hyesoo Hong, Soeun Kim, Seungju Han, Youngjae Yu, Albert No |
| 2026 | ACL | 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 |
| 2026 | ACL | Investigating Counterfactual Unfairness in LLMs towards Identities through Humor. | Shubin Kim, Yejin Son, Junyeong Park, Keummin Ka, Seungbeen Lee, Jaeyoung Lee, Hyeju Jang, Alice Oh, Youngjae Yu |
| 2026 | ACL | Tracing Mathematical Proficiency Through Problem-Solving Processes. | Jungyang Park, Suho Kang, Jaewoo Park, Jaehong Kim, Jaewoo Shin, Seonjoon Park, Youngjae Yu |
| 2025 | AAAI | ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO. | Daechul Ahn, Yura Choi, San Kim, Youngjae Yu, Dongyeop Kang, Jonghyun Choi |
| 2025 | AAAI | MASS: Overcoming Language Bias in Image-Text Matching. | Jiwan Chung, Seungwon Lim, Sangkyu Lee, Youngjae Yu |
| 2025 | AAAI | DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation. | Jisoo Kim, Jungbin Cho, Joonho Park, Soonmin Hwang, Da Eun Kim, Geon Kim, Youngjae Yu |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | ACL | Persona Dynamics: Unveiling the Impact of Persona Traits on Agents in Text-Based Games. | Seungwon Lim, Seungbeen Lee, Dongjun Min, Youngjae Yu |
| 2025 | ACL | Representation Bending for Large Language Model Safety. | Ashkan Yousefpour, Taeheon Kim, Ryan Sungmo Kwon, Seungbeen Lee, Wonje Jeung, Seungju Han, Alvin Wan, Harrison Ngan, Youngjae Yu, Jonghyun Choi |
| 2025 | EMNLP | Zero-shot Multimodal Document Retrieval via Cross-modal Question Generation. | Yejin Choi, Jae-Woo Park, Janghan Yoon, Saejin Kim, Jaehyun Jeon, Youngjae Yu |
| 2025 | EMNLP | MAVL: A Multilingual Audio-Video Lyrics Dataset for Animated Song Translation. | Woohyun Cho, Youngmin Kim, Sunghyun Lee, Youngjae Yu |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | Subtle Risks, Critical Failures: A Framework for Diagnosing Physical Safety of LLMs for Embodied Decision Making. | Yejin Son, Minseo Kim, Sungwoong Kim, Seungju Han, Jian Kim, Dongju Jang, Youngjae Yu, Chan Young Park |
| 2025 | EMNLP | Multimodal UNcommonsense: From Odd to Ordinary and Ordinary to Odd. | Yejin Son, Saejin Kim, Dongjun Min, Youngjae Yu |
| 2025 | ICCV | DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding. | Jungbin Cho, Junwan Kim, Jisoo Kim, Minseo Kim, Mingu Kang, Sungeun Hong, Tae-Hyun Oh, Youngjae Yu |
| 2025 | ICCV | V.I.P.: Iterative Online Preference Distillation for Efficient Video Diffusion Models. | Jisoo Kim, Wooseok Seo, Junwan Kim, Seungho Park, Sooyeon Park, Youngjae Yu |
| 2025 | ICCV | VAGUE: Visual Contexts Clarify Ambiguous Expressions. | Heejeong Nam, Jinwoo Ahn, Keummin Ka, Jiwan Chung, Youngjae Yu |
| 2025 | ICRA | 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 |
| 2025 | MICCAI | Scalp Diagnostic System with Label-Free Segmentation and Training-Free Image Translation. | Youngmin Kim, Saejin Kim, Hoyeon Moon, Youngjae Yu, Junhyug Noh |
| 2025 | NAACL | 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 |
| 2025 | NAACL | 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 |
| 2025 | NAACL | 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 |
| 2024 | ACL | Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback. | Daechul Ahn, Yura Choi, Youngjae Yu, Dongyeop Kang, Jonghyun Choi |
| 2024 | ACL | Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation. | Dongjin Kang, Sunghwan Kim, Taeyoon Kwon, Seungjun Moon, Hyunsouk Cho, Youngjae Yu, Dongha Lee, Jinyoung Yeo |
| 2024 | ACL | Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. | Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee |
| 2024 | ACL | Aligning Large Language Models by On-Policy Self-Judgment. | Sangkyu Lee, Sungdong Kim, Ashkan Yousefpour, Minjoon Seo, Kang Min Yoo, Youngjae Yu |
| 2024 | ECCV | ActionSwitch: Class-Agnostic Detection of Simultaneous Actions in Streaming Videos. | Hyolim Kang, Jeongseok Hyun, Joungbin An, Youngjae Yu, Seon Joo Kim |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory. | Suyeon Lee, Sunghwan Kim, Minju Kim, Dongjin Kang, Dongil Yang, Harim Kim, Minseok Kang, Dayi Jung, Min Hee Kim, Seungbeen Lee, Kyoung-Mee Chung, Youngjae Yu, Dongha Lee, Jinyoung Yeo |
| 2024 | EMNLP | How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. | Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel |
| 2024 | NAACL | SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models. | Lee Hyun, Sung-Bin Kim, Seungju Han, Youngjae Yu, Tae-Hyun Oh |
| 2023 | ACL | Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. | Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi |
| 2023 | BMVC | Long Story Short: a Summarize-then-Search Method for Prompt-Based Long Video Question Answering. | Jiwan Chung, Youngjae Yu |
| 2023 | CVPR | 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 |
| 2023 | EMNLP | SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. | Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi |
| 2023 | EMNLP | Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents. | Hyungjoo Chae, Yongho Song, Kai Tzu-iunn Ong, Taeyoon Kwon, Minjin Kim, Youngjae Yu, Dongha Lee, Dongyeop Kang, Jinyoung Yeo |
| 2023 | EMNLP | VLIS: Unimodal Language Models Guide Multimodal Language Generation. | Jiwan Chung, Youngjae Yu |
| 2023 | EMNLP | 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 |
| 2023 | ICCV | Champagne: Learning Real-world Conversation from Large-Scale Web Videos. | Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu |
| 2023 | ICRA | Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants. | Jeongeun Park, Taerim Yoon, Jejoon Hong, Youngjae Yu, Matthew K. X. J. Pan, Sungjoon Choi |
| 2022 | CVPR | MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. | Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi |
| 2022 | EMNLP | ProsocialDialog: A Prosocial Backbone for Conversational Agents. | Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap |
| 2022 | NAACL | NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. | Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi |
| 2022 | NAACL | Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. | Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi |
| 2021 | AAAI | Dual Compositional Learning in Interactive Image Retrieval. | Jongseok Kim, Youngjae Yu, Hoeseong Kim, Gunhee Kim |
| 2021 | CVPR | Transitional Adaptation of Pretrained Models for Visual Storytelling. | Youngjae Yu, Jiwan Chung, Heeseung Yun, Jongseok Kim, Gunhee Kim |
| 2021 | ICCV | 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 |
| 2021 | ICCV | Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos. | Heeseung Yun, Youngjae Yu, Wonsuk Yang, Kangil Lee, Gunhee Kim |
| 2021 | ICLR | Parameter Efficient Multimodal Transformers for Video Representation Learning. | Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Jan Kautz, Yale Song |
| 2021 | ICLR | Self-Supervised Learning of Compressed Video Representations. | Youngjae Yu, Sangho Lee, Gunhee Kim, Yale Song |
| 2020 | ECCV | Character Grounding and Re-identification in Story of Videos and Text Descriptions. | Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung, Gunhee Kim |
| 2018 | AAAI | A Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360◦ Video. | Youngjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim |
| 2018 | CVPR | A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos. | Sangho Lee, Jinyoung Sung, Youngjae Yu, Gunhee Kim |
| 2018 | ECCV | A Joint Sequence Fusion Model for Video Question Answering and Retrieval. | Youngjae Yu, Jongseok Kim, Gunhee Kim |
| 2017 | CVPR | TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering. | Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, Gunhee Kim |
| 2017 | CVPR | Supervising Neural Attention Models for Video Captioning by Human Gaze Data. | Youngjae Yu, Jongwook Choi, Yeonhwa Kim, Kyung Yoo, Sang-Hun Lee, Gunhee Kim |
| 2017 | CVPR | End-to-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering. | Youngjae Yu, Hyungjin Ko, Jongwook Choi, Gunhee Kim |