Youngjae Yu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 81

Top Topics

Question Answering

Temporal Reasoning

Interactive Image Retrieval

Top Venues

Publications

Dongjin Kang, Sunghwan Kim, Taeyoon Kwon, Seungjun Moon, Hyunsouk Cho, Youngjae Yu, Dongha Lee, Jinyoung Yeo
Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation. CoRR (2024)
Daechul Ahn, Yura Choi, San Kim, Youngjae Yu, Dongyeop Kang, Jonghyun Choi
i-SRT: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective Judgment. CoRR (2024)
Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu
Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding. CoRR (2024)
Hyolim Kang, Jeongseok Hyun, Joungbin An, Youngjae Yu, Seon Joo Kim
ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos. CoRR (2024)
Youngmin Kim, Saejin Kim, Hoyeon Moon, Youngjae Yu, Junhyug Noh
Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation. CoRR (2024)
Daechul Ahn, Yura Choi, Youngjae Yu, Dongyeop Kang, Jonghyun Choi
Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback. ACL (1) (2024)
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
Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory. CoRR (2024)
Daechul Ahn, Yura Choi, Youngjae Yu, Dongyeop Kang, Jonghyun Choi
Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback. CoRR (2024)
Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, Soyeon Chun, Hyunseo Kim, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. CoRR (2024)
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
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models. CoRR (2024)
Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. ACL (Findings) (2024)
Kangyeol Kim, Wooseok Seo, Sehyun Nam, Bodam Kim, Suhyeon Jeong, Wonwoo Cho, Jaegul Choo, Youngjae Yu
Layout-and-Retouch: A Dual-stage Framework for Improving Diversity in Personalized Image Generation. CoRR (2024)
Sangkyu Lee, Sungdong Kim, Ashkan Yousefpour, Minjoon Seo, Kang Min Yoo, Youngjae Yu
Aligning Large Language Models by On-Policy Self-Judgment. ACL (1) (2024)
Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. CoRR (2024)
Sangkyu Lee, Sungdong Kim, Ashkan Yousefpour, Minjoon Seo, Kang Min Yoo, Youngjae Yu
Aligning Large Language Models by On-Policy Self-Judgment. CoRR (2024)
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
Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics. CoRR (2024)
Jeongeun Park, Seungwon Lim, Joonhyung Lee, Sangbeom Park, Minsuk Chang, Youngjae Yu, Sungjoon Choi
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents. IEEE Robotics Autom. Lett. 9 (2) (2024)
Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. CoRR (2023)
Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. CoRR (2023)
Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu
Champagne: Learning Real-world Conversation from Large-Scale Web Videos. ICCV (2023)
Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu
Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. CoRR (2023)
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
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. EMNLP (2023)
Jiwan Chung, Youngjae Yu
Long Story Short: a Summarize-then-Search Method for Long Video Question Answering. CoRR (2023)
Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu
CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos. CoRR (2023)
Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi
Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning. CVPR (2023)
Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text. NeurIPS (2023)
Jeongeun Park, Seungwon Lim, Joonhyung Lee, Sangbeom Park, Youngjae Yu, Sungjoon Choi
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents. CoRR (2023)
Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. ACL (1) (2023)
Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text. CoRR (2023)
Jiwan Chung, Youngjae Yu
VLIS: Unimodal Language Models Guide Multimodal Language Generation. EMNLP (2023)
Jeongeun Park, Taerim Yoon, Jejoon Hong, Youngjae Yu, Matthew Pan, Sungjoon Choi
Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants. ICRA (2023)
Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. NeurIPS (2023)
Jiwan Chung, Youngjae Yu
Long Story Short: a Summarize-then-Search Method for Prompt-Based Long Video Question Answering. BMVC (2023)
Hyungjoo Chae, Yongho Song, Kai Tzu-iunn Ong, Taeyoon Kwon, Minjin Kim, Youngjae Yu, Dongha Lee, Dongyeop Kang, Jinyoung Yeo
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents. EMNLP (2023)
Hyungjoo Chae, Yongho Song, Kai Tzu-iunn Ong, Taeyoon Kwon, Minjin Kim, Youngjae Yu, Dongha Lee, Dongyeop Kang, Jinyoung Yeo
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents. CoRR (2023)
Jiwan Chung, Youngjae Yu
VLIS: Unimodal Language Models Guide Multimodal Language Generation. CoRR (2023)
Lee Hyun, Kim Sung-Bin, Seungju Han, Youngjae Yu, Tae-Hyun Oh
SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models. CoRR (2023)
Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu
Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. EMNLP (2023)
Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. NAACL-HLT (2022)
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
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. NAACL-HLT (2022)
Hyunwoo Kim, Jack Hessel, Liwei Jiang, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. CoRR (2022)
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. CVPR (2022)
Jihoon Kim, Youngjae Yu, Seungyoun Shin, Taehyun Byun, Sungjoon Choi
Learning Joint Representation of Human Motion and Language. CoRR (2022)
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. CoRR (2022)
Jeongeun Park, Taerim Yoon, Jejoon Hong, Youngjae Yu, Matthew Pan, Sungjoon Choi
Active Visual Search in the Wild. CoRR (2022)
Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi
Multimodal Knowledge Alignment with Reinforcement Learning. CoRR (2022)
Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap
ProsocialDialog: A Prosocial Backbone for Conversational Agents. CoRR (2022)
Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap
ProsocialDialog: A Prosocial Backbone for Conversational Agents. EMNLP (2022)
Jongseok Kim, Youngjae Yu, Hoeseong Kim, Gunhee Kim
Dual Compositional Learning in Interactive Image Retrieval. AAAI (2021)
Heeseung Yun, Youngjae Yu, Wonsuk Yang, Kangil Lee, Gunhee Kim
Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos. ICCV (2021)
Jongseok Kim, Youngjae Yu, Seunghwan Lee, Gunhee Kim
Cycled Compositional Learning between Images and Text. CoRR (2021)
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
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. CoRR (2021)
Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. CoRR (2021)
Heeseung Yun, Youngjae Yu, Wonsuk Yang, Kangil Lee, Gunhee Kim
Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos. CoRR (2021)
Youngjae Yu, Sangho Lee, Gunhee Kim, Yale Song
Self-Supervised Learning of Compressed Video Representations. ICLR (2021)
Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Gal Chechik, Yale Song
ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning. ICCV (2021)
Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Jan Kautz, Yale Song
Parameter Efficient Multimodal Transformers for Video Representation Learning. ICLR (2021)
Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
MERLOT: Multimodal Neural Script Knowledge Models. CoRR (2021)
Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
MERLOT: Multimodal Neural Script Knowledge Models. NeurIPS (2021)
Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Gal Chechik, Yale Song
Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning. CoRR (2021)
Youngjae Yu, Jiwan Chung, Heeseung Yun, Jongseok Kim, Gunhee Kim
Transitional Adaptation of Pretrained Models for Visual Storytelling. CVPR (2021)
Youngjae Yu, Seunghwan Lee, Yuncheol Choi, Gunhee Kim
CurlingNet: Compositional Learning between Images and Text for Fashion IQ Data. CoRR (2020)
Hankyol Lee, Youngjae Yu, Gunhee Kim
Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context. Fig-Lang@ACL (2020)
Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung, Gunhee Kim
Character Grounding and Re-identification in Story of Videos and Text Descriptions. ECCV (5) (2020)
Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Jan Kautz, Yale Song
Parameter Efficient Multimodal Transformers for Video Representation Learning. CoRR (2020)
Hankyol Lee, Youngjae Yu, Gunhee Kim
Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context. CoRR (2020)
Yunseok Jang, Yale Song, Chris Dongjoo Kim, Youngjae Yu, Youngjin Kim, Gunhee Kim
Video Question Answering with Spatio-Temporal Reasoning. Int. J. Comput. Vis. 127 (10) (2019)
Youngjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim
A Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360◦ Video. AAAI (2018)
Youngjae Yu, Jongseok Kim, Gunhee Kim
A Joint Sequence Fusion Model for Video Question Answering and Retrieval. CoRR (2018)
Sangho Lee, Jinyoung Sung, Youngjae Yu, Gunhee Kim
A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos. CVPR (2018)
Sangho Lee, Jinyoung Sung, Youngjae Yu, Gunhee Kim
A Memory Network Approach for Story-based Temporal Summarization of 360° Videos. CoRR (2018)
Youngjae Yu, Jongseok Kim, Gunhee Kim
A Joint Sequence Fusion Model for Video Question Answering and Retrieval. ECCV (7) (2018)
Youngjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim
A Deep Ranking Model for Spatio-Temporal Highlight Detection from a 360 Video. CoRR (2018)
Youngjae Yu, Jongwook Choi, Yeonhwa Kim, Kyung Yoo, Sang-Hun Lee, Gunhee Kim
Supervising Neural Attention Models for Video Captioning by Human Gaze Data. CVPR (2017)
Youngjae Yu, Hyungjin Ko, Jongwook Choi, Gunhee Kim
End-to-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering. CVPR (2017)
Youngjae Yu, Jongwook Choi, Yeonhwa Kim, Kyung Yoo, Sang-Hun Lee, Gunhee Kim
Supervising Neural Attention Models for Video Captioning by Human Gaze Data. CoRR (2017)
Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, Gunhee Kim
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering. CoRR (2017)
Inuk Jung, Kyuri Jo, Hyejin Kang, Hongryul Ahn, Youngjae Yu, Sun Kim
TimesVector: a vectorized clustering approach to the analysis of time series transcriptome data from multiple phenotypes. Bioinform. 33 (23) (2017)
Seil Na, Youngjae Yu, Sangho Lee, Jisung Kim, Gunhee Kim
Encoding Video and Label Priors for Multi-label Video Classification on YouTube-8M dataset. CoRR (2017)
Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, Gunhee Kim
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering. CVPR (2017)
Youngjae Yu, Hyungjin Ko, Jongwook Choi, Gunhee Kim
Video Captioning and Retrieval Models with Semantic Attention. CoRR (2016)