Video Captioning and Retrieval Models with Semantic Attention. - Youngjae Yu; Hyungjin Ko; Jongwook Choi; Gunhee Kim (CoRR, 2016)

TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering. - Yunseok Jang 001; Yale Song; Youngjae Yu; Youngjin Kim; Gunhee Kim (CVPR, 2017)

Supervising Neural Attention Models for Video Captioning by Human Gaze Data. - Youngjae Yu; Jongwook Choi; Yeonhwa Kim; Kyung Yoo; Sang-Hun Lee; Gunhee Kim (CVPR, 2017)

End-to-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering. - Youngjae Yu; Hyungjin Ko; Jongwook Choi; Gunhee Kim (CVPR, 2017)

TimesVector: a vectorized clustering approach to the analysis of time series transcriptome data from multiple phenotypes. - Inuk Jung; Kyuri Jo; Hyejin Kang; Hongryul Ahn; Youngjae Yu; Sun Kim (Bioinform., 2017)

Encoding Video and Label Priors for Multi-label Video Classification on YouTube-8M dataset. - Seil Na; Youngjae Yu; Sangho Lee 008; Jisung Kim; Gunhee Kim (CoRR, 2017)

A Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360◦ Video. - Youngjae Yu; Sangho Lee 008; Joonil Na; Jaeyun Kang; Gunhee Kim (AAAI, 2018)

A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos. - Sangho Lee 008; Jinyoung Sung; Youngjae Yu; Gunhee Kim (CVPR, 2018)

A Joint Sequence Fusion Model for Video Question Answering and Retrieval. - Youngjae Yu; Jongseok Kim 002; Gunhee Kim (ECCV (7), 2018)

Video Question Answering with Spatio-Temporal Reasoning. - Yunseok Jang 001; Yale Song; Chris Dongjoo Kim; Youngjae Yu; Youngjin Kim; Gunhee Kim (Int. J. Comput. Vis., 2019)

Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context. - Hankyol Lee; Youngjae Yu; Gunhee Kim (Fig-Lang@ACL, 2020)

Character Grounding and Re-identification in Story of Videos and Text Descriptions. - Youngjae Yu; Jongseok Kim 002; Heeseung Yun; Jiwan Chung; Gunhee Kim (ECCV (5), 2020)

CurlingNet: Compositional Learning between Images and Text for Fashion IQ Data. - Youngjae Yu; Seunghwan Lee; Yuncheol Choi; Gunhee Kim (CoRR, 2020)

Dual Compositional Learning in Interactive Image Retrieval. - Jongseok Kim 002; Youngjae Yu; Hoeseong Kim; Gunhee Kim (AAAI, 2021)

Transitional Adaptation of Pretrained Models for Visual Storytelling. - Youngjae Yu; Jiwan Chung; Heeseung Yun; Jongseok Kim; Gunhee Kim (CVPR, 2021)

ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning. - Sangho Lee 008; Jiwan Chung; Youngjae Yu; Gunhee Kim; Thomas M. Breuel; Gal Chechik; Yale Song (ICCV, 2021)

Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos. - Heeseung Yun; Youngjae Yu; Wonsuk Yang; Kangil Lee 005; Gunhee Kim (ICCV, 2021)

Parameter Efficient Multimodal Transformers for Video Representation Learning. - Sangho Lee 008; Youngjae Yu; Gunhee Kim; Thomas M. Breuel; Jan Kautz; Yale Song (ICLR, 2021)

Self-Supervised Learning of Compressed Video Representations. - Youngjae Yu; Sangho Lee 008; Gunhee Kim; Yale Song (ICLR, 2021)

MERLOT: Multimodal Neural Script Knowledge Models. - Rowan Zellers; Ximing Lu; Jack Hessel; Youngjae Yu; Jae Sung Park; Jize Cao; Ali Farhadi; Yejin Choi 001 (NeurIPS, 2021)

Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning. - Sangho Lee 008; Jiwan Chung; Youngjae Yu; Gunhee Kim; Thomas M. Breuel; Gal Chechik; Yale Song (CoRR, 2021)

Cycled Compositional Learning between Images and Text. - Jongseok Kim 002; Youngjae Yu; Seunghwan Lee; Gunhee Kim (CoRR, 2021)

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 001 (CVPR, 2022)

ProsocialDialog: A Prosocial Backbone for Conversational Agents. - Hyunwoo Kim 002; Youngjae Yu; Liwei Jiang; Ximing Lu; Daniel Khashabi; Gunhee Kim; Yejin Choi 001; Maarten Sap (EMNLP, 2022)

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 001; Lianhui Qin; Youngjae Yu; Rowan Zellers; Noah A. Smith; Yejin Choi 001 (NAACL-HLT, 2022)

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 001 (NAACL-HLT, 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 001; Gunhee Kim; Yejin Choi 001 (CoRR, 2022)

Active Visual Search in the Wild. - Jeongeun Park 002; Taerim Yoon; Jejoon Hong; Youngjae Yu; Matthew K. X. J. Pan; Sungjoon Choi (CoRR, 2022)

Learning Joint Representation of Human Motion and Language. - Jihoon Kim; Youngjae Yu; Seungyoun Shin; Taehyun Byun; Sungjoon Choi (CoRR, 2022)

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. - Hyunwoo Kim 002; Jack Hessel; Liwei Jiang; Ximing Lu; Youngjae Yu; Pei Zhou; Ronan Le Bras 001; Malihe Alikhani; Gunhee Kim; Maarten Sap; Yejin Choi 001 (CoRR, 2022)

Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. - Liunian Harold Li; Jack Hessel; Youngjae Yu; Xiang Ren 001; Kai-Wei Chang; Yejin Choi 001 (ACL (1), 2023)

Long Story Short: a Summarize-then-Search Method for Prompt-Based Long Video Question Answering. - Jiwan Chung; Youngjae Yu (BMVC, 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 001; Gunhee Kim; Yejin Choi 001 (CVPR, 2023)

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. - Hyunwoo Kim 002; Jack Hessel; Liwei Jiang; Peter West; Ximing Lu; Youngjae Yu; Pei Zhou; Ronan Le Bras 001; Malihe Alikhani; Gunhee Kim; Maarten Sap; Yejin Choi 001 (EMNLP, 2023)

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 003; Dongyeop Kang; Jinyoung Yeo (EMNLP, 2023)

VLIS: Unimodal Language Models Guide Multimodal Language Generation. - Jiwan Chung; Youngjae Yu (EMNLP, 2023)

Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. - Seungju Han 002; Junhyeok Kim 002; Jack Hessel; Liwei Jiang; Jiwan Chung; Yejin Son; Yejin Choi 001; Youngjae Yu (EMNLP, 2023)

Champagne: Learning Real-world Conversation from Large-Scale Web Videos. - Seungju Han 002; Jack Hessel; Nouha Dziri; Yejin Choi 001; Youngjae Yu (ICCV, 2023)

Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants. - Jeongeun Park 002; Taerim Yoon; Jejoon Hong; Youngjae Yu; Matthew K. X. J. Pan; Sungjoon Choi (ICRA, 2023)

Localized Symbolic Knowledge Distillation for Visual Commonsense Models. - Jae Sung Park; Jack Hessel; Khyathi Raghavi Chandu; Paul Pu Liang; Ximing Lu; Peter West; Youngjae Yu; Qiuyuan Huang; Jianfeng Gao 001; Ali Farhadi; Yejin Choi 001 (NeurIPS, 2023)

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text. - Wanrong Zhu; Jack Hessel; Anas Awadalla; Samir Yitzhak Gadre; Jesse Dodge; Alex Fang; Youngjae Yu; Ludwig Schmidt; William Yang Wang; Yejin Choi 001 (NeurIPS, 2023)

Long Story Short: a Summarize-then-Search Method for Long Video Question Answering. - Jiwan Chung; Youngjae Yu (CoRR, 2023)

Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback. - Daechul Ahn; Yura Choi; Youngjae Yu; Dongyeop Kang; Jonghyun Choi (ACL (1), 2024)

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 003; Jinyoung Yeo (ACL (1), 2024)

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 003 (ACL (Findings), 2024)

Aligning Large Language Models by On-Policy Self-Judgment. - Sangkyu Lee; Sungdong Kim; Ashkan Yousefpour; Minjoon Seo; Kang Min Yoo; Youngjae Yu (ACL (1), 2024)

ActionSwitch: Class-Agnostic Detection of Simultaneous Actions in Streaming Videos. - Hyolim Kang; Jeongseok Hyun; Joungbin An; Youngjae Yu; Seon Joo Kim (ECCV (10), 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 (EMNLP, 2024)

Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you! - Jiwan Chung; Seungwon Lim; Jaehyun Jeon 002; Seungbeen Lee; Youngjae Yu (EMNLP, 2024)

Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding. - Jiwan Chung; Sungjae Lee 003; Minseo Kim; Seungju Han 002; Ashkan Yousefpour; Jack Hessel; Youngjae Yu (EMNLP, 2024)

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; et al. (EMNLP (Findings), 2024)

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 001; Saadia Gabriel (EMNLP (Findings), 2024)

SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models. - Lee Hyun; Kim Sung-Bin; Seungju Han 002; Youngjae Yu; Tae-Hyun Oh (NAACL-HLT (Findings), 2024)

Towards Visual Text Design Transfer Across Languages. - Yejin Choi 004; Jiwan Chung; Sumin Shim; Giyeong Oh; Youngjae Yu (NeurIPS, 2024)

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. - Minjin Kim; Minju Kim; Hana Kim; Beong-woo Kwak; Soyeon Chun; Hyunseo Kim 002; SeongKu Kang; Youngjae Yu; Jinyoung Yeo; Dongha Lee 003 (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 004; Taeyoon Kwon; Jiwan Chung; Youngjae Yu; Jinyoung Yeo (CoRR, 2024)

i-SRT: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective Judgment. - Daechul Ahn; Yura Choi; San Kim; Youngjae Yu; Dongyeop Kang; Jonghyun Choi (CoRR, 2024)

Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation. - Youngmin Kim; Saejin Kim; Hoyeon Moon; Youngjae Yu; Junhyug Noh (CoRR, 2024)

Layout-and-Retouch: A Dual-stage Framework for Improving Diversity in Personalized Image Generation. - Kangyeol Kim; Wooseok Seo; Sehyun Nam; Bodam Kim; Suhyeon Jeong; Wonwoo Cho; Jaegul Choo; Youngjae Yu (CoRR, 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 003; Hwiseong Park; Jiwan Chung; Youngjae Yu (CoRR, 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 001; Se-young Yun; Youngjae Yu; Bongshin Lee (CoRR, 2024)

TIPO: Text to Image with Text Presampling for Prompt Optimization. - Shih-Ying Yeh; Sang-Hyun Park; Giyeong Oh; Min Song; Youngjae Yu (CoRR, 2024)

DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding. - Jungbin Cho; Junwan Kim; Jisoo Kim 006; Minseo Kim; Mingu Kang; Sungeun Hong; Tae-Hyun Oh; Youngjae Yu (CoRR, 2024)

CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents. - Jeongeun Park 002; Seungwon Lim; Joonhyung Lee; Sangbeom Park; Minsuk Chang; Youngjae Yu; Sungjoon Choi (IEEE Robotics Autom. Lett., 2024)

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 (AAAI, 2025)

MASS: Overcoming Language Bias in Image-Text Matching. - Jiwan Chung; Seungwon Lim; Sangkyu Lee; Youngjae Yu (AAAI, 2025)

DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation. - Jisoo Kim 006; Jungbin Cho; Joonho Park; Soonmin Hwang; Da Eun Kim; Geon Kim; Youngjae Yu (AAAI, 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 (ACL (1), 2025)

Speaking Beyond Language: A Large-Scale Multimodal Dataset for Learning Nonverbal Cues from Video-Grounded Dialogues. - Youngmin Kim; Jiwan Chung; Jisoo Kim 006; Sunghyun Lee; Sangkyu Lee; Junhyeok Kim 002; Cheoljong Yang; Youngjae Yu (ACL (1), 2025)

Persona Dynamics: Unveiling the Impact of Persona Traits on Agents in Text-Based Games. - Seungwon Lim; Seungbeen Lee; Dongjun Min; Youngjae Yu (ACL (1), 2025)

Representation Bending for Large Language Model Safety. - Ashkan Yousefpour; Taeheon Kim; Ryan Sungmo Kwon; Seungbeen Lee; Wonje Jeung; Seungju Han 002; Alvin Wan; Harrison Ngan; Youngjae Yu; Jonghyun Choi (ACL (1), 2025)

EgoSpeak: Learning When to Speak for Egocentric Conversational Agents in the Wild. - Junhyeok Kim 002; Min Soo Kim 007; Jiwan Chung; Jungbin Cho; Jisoo Kim 006; Sungwoong Kim; Gyeongbo Sim; Youngjae Yu (NAACL (Findings), 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 001; Se-Young Yun; Youngjae Yu; Bongshin Lee (NAACL (Long Papers), 2025)

Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics. - Seungbeen Lee; Seungwon Lim; Seungju Han 002; Giyeong Oh; Hyungjoo Chae; Jiwan Chung; Minju Kim; Beong-woo Kwak; Yeonsoo Lee; Dongha Lee 003; Jinyoung Yeo; Youngjae Yu (NAACL (Findings), 2025)

Complete Coherent Demodulation and Recovery of Spread Spectrum Clocking-Based Electromagnetic Information Leakage: Theory and Demonstration. - Euibum Lee; Dong-Hoon Choi; Taesik Nam; Inhwan Kim; Youngjae Yu; Jong-Gwan Yook (IEEE Trans. Inf. Forensics Secur., 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, 2025)

KL Penalty Control via Perturbation for Direct Preference Optimization. - Sangkyu Lee; Janghoon Han; Hosung Song; Stanley Jungkyu Choi; Honglak Lee; Youngjae Yu (CoRR, 2025)

Teaching Metric Distance to Autoregressive Multimodal Foundational Models. - Jiwan Chung; Saejin Kim; Yongrae Jo; Jaewoo Park; Dongjun Min; Youngjae Yu (CoRR, 2025)

GuideDog: A Real-World Egocentric Multimodal Dataset for Blind and Low-Vision Accessibility-Aware Guidance. - Junhyeok Kim 002; Jaewoo Park; Junhee Park; Sangeyl Lee; Jiwan Chung; Jisung Kim; Ji Hoon Joung; Youngjae Yu (CoRR, 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, 2025)

Representation Bending for Large Language Model Safety. - Ashkan Yousefpour; Taeheon Kim; Ryan S. Kwon; Seungbeen Lee; Wonje Jeung; Seungju Han 002; Alvin Wan; Harrison Ngan; Youngjae Yu; Jonghyun Choi (CoRR, 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, 2025)

Persona Dynamics: Unveiling the Impact of Personality Traits on Agents in Text-Based Games. - Seungwon Lim; Seungbeen Lee; Dongjun Min; Youngjae Yu (CoRR, 2025)

G-FOCUS: Towards a Robust Method for Assessing UI Design Persuasiveness. - Jaehyun Jeon 002; Jang Han Yoon; Min Soo Kim 007; Sumin Shim; Yejin Choi 004; Hanbin Kim; Youngjae Yu (CoRR, 2025)

When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research. - Guijin Son; Jiwoo Hong; Honglu Fan; Heejeong Nam; Hyunwoo Ko; Seungwon Lim; Jinyeop Song; Jinha Choi; Gonçalo Paulo; Youngjae Yu; Stella Biderman (CoRR, 2025)

DUSK: Do Not Unlearn Shared Knowledge. - Wonje Jeung; Sangyeon Yoon; Hyesoo Hong; Soeun Kim; Seungju Han 002; Youngjae Yu; Albert No (CoRR, 2025)

MAVL: A Multilingual Audio-Video Lyrics Dataset for Animated Song Translation. - Woohyun Cho; Youngmin Kim; Sunghyun Lee; Youngjae Yu (CoRR, 2025)

Don't Look Only Once: Towards Multimodal Interactive Reasoning with Selective Visual Revisitation. - Jiwan Chung; Junhyeok Kim 002; Siyeol Kim; Jaeyoung Lee; Min Soo Kim 007; Youngjae Yu (CoRR, 2025)

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; Chanyoung Park (CoRR, 2025)

Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers. - Wooseok Seo; Seungju Han 002; Jaehun Jung; Benjamin Newman; Seungwon Lim; Seungbeen Lee; Ximing Lu; Ye Jin Choi 001; Youngjae Yu (CoRR, 2025)

NMIXX: Domain-Adapted Neural Embeddings for Cross-Lingual eXploration of Finance. - Hanwool Lee; Sara Yu; Yewon Hwang; Jonghyun Choi; Heejae Ahn; Sungbum Jung; Youngjae Yu (CoRR, 2025)

SlumpGuard: An AI-Powered Real-Time System for Automated Concrete Slump Prediction via Video Analysis. - Youngmin Kim; Giyeong Oh; Kwangsoo Youm; Youngjae Yu (CoRR, 2025)

HIPPO-Video: Simulating Watch Histories with Large Language Models for Personalized Video Highlighting. - Jeongeun Lee; Youngjae Yu; Dongha Lee (CoRR, 2025)

V.I.P. : Iterative Online Preference Distillation for Efficient Video Diffusion Models. - Jisoo Kim; Wooseok Seo; Junwan Kim; Seungho Park; Sooyeon Park; Youngjae Yu (CoRR, 2025)

InfoCausalQA:Can Models Perform Non-explicit Causal Reasoning Based on Infographic? - Keummin Ka; Junhyeong Park; Jaehyun Jeon; Youngjae Yu (CoRR, 2025)