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Jinyoung Yeo, PhD Assistant Professor Department of Artificial Intelligence Yonsei University 447 (YERP), 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea Lab: https://langlab.yonsei.ac.kr Email: jinyeo [at] yonsei (dot) ac (dot) kr |
Biography
I am an Assistant Professor of AI at Yonsei University, where I lead the Yonsei Language & AGI (LangAGI) Lab. Before joining Yonsei AI, I was a research scientist at SKT Brain. I earned my Ph.D. in Computer Science and Engineering from Pohang University of Science & Technology (POSTECH), under the supervision of Prof. Seung-won Hwang, now at Seoul National University. During my Ph.D., I had the opportunity to intern multiple times as a data scientist at Adobe Research in the Bay Area, gaining valuable experience in industry-driven research and innovation.
At LangAGI Lab, we are deeply interested in Large Language Models (LLMs) and their applications. We develop LLM-Driven Synergistic AI Systems that integrate the natural communication abilities of LLMs with structured reasoning and dependable execution. By bridging LLMs with multimodal data, knowledge systems, and autonomous capabilities, we craft AI that is more reliable, adaptable, and impactful. If you share our passion for advancing AI and wish to collaborate, we welcome you to join us on this exciting journey.
I am an Assistant Professor of AI at Yonsei University, where I lead the Yonsei Language & AGI (LangAGI) Lab. Before joining Yonsei AI, I was a research scientist at SKT Brain. I earned my Ph.D. in Computer Science and Engineering from Pohang University of Science & Technology (POSTECH), under the supervision of Prof. Seung-won Hwang, now at Seoul National University. During my Ph.D., I had the opportunity to intern multiple times as a data scientist at Adobe Research in the Bay Area, gaining valuable experience in industry-driven research and innovation.
At LangAGI Lab, we are deeply interested in Large Language Models (LLMs) and their applications. We develop LLM-Driven Synergistic AI Systems that integrate the natural communication abilities of LLMs with structured reasoning and dependable execution. By bridging LLMs with multimodal data, knowledge systems, and autonomous capabilities, we craft AI that is more reliable, adaptable, and impactful. If you share our passion for advancing AI and wish to collaborate, we welcome you to join us on this exciting journey.
Publications
2025
Web-Shepherd: Advancing PRMs for Reinforcing Web Agents
{Hyungjoo Chae, Sunghwan Kim, Junhee Cho}, Seungone Kim, Seungjun Moon, Gyeom Hwangbo , Dongha Lim, Minjin Kim, Yeonjun Hwang, Minju Gwak, Dongwook Choi, Minseok Kang, Gwanhoon Im, ByeongUng Cho, Hyojun Kim, Jun Hee Han, Taeyoon Kwon, Minju Kim, Beong-woo Kwak, Dongjin Kang, Jinyoung Yeo
NeurIPS 2025, Spotlight
[paper]
Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning
Yeongbin Seo, Dongha Lee, Jaehyung Kim, Jinyoung Yeo
NeurIPS 2025, Spotlight
[paper]
ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions
Beong-woo Kwak, Minju Kim, Dongha Lim, Hyungjoo Chae, Dongjin Kang, Sunghwan Kim, Dongil Yang, Jinyoung Yeo
EMNLP 2025 Findings
[paper]
PRINCIPLES: Synthetic Strategy Memory for Proactive Dialogue Agents
Namyoung Kim, Kai Tzu-iunn Ong, Yeonjun Hwang, Minseok Kang, Iiseo Jihn, Gayoung Kim, Minju Kim, Jinyoung Yeo
EMNLP 2025 Findings
[paper]
Stop Playing the Guessing Game! Evaluating Conversational Recommender Systems via Target-free User Simulation
SungHwan Kim, Tongyoung Kim, Kwangwook Seo, Jinyoung Yeo, Dongha Lee
EMNLP 2025 Findings
[paper]
Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching
Seoyeon Kim, Huiseo Kim, Chanjun Park, Jinyoung Yeo, Dongha Lee
EMNLP 2025 Findings
[paper]
Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance
Dongwook Choi, Taeyoon Kwon, Dongil Yang, Hyojun Kim, Jinyoung Yeo
XRMemory Workshop, IEEE ISMAR 2025
[paper]
Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
{Sunghwan Kim, Dongjin Kang}, Taeyoon Kwon, Hyungjoo Chae, Dongha Lee, Jinyoung Yeo
ACL 2025
[paper]
LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study
Dongil Yang, Minjin Kim, Sunghwan Kim, Beong-woo Kwak, Minjun Park, Jinseok Hong, Woontack Woo, Jinyoung Yeo
ACL 2025
[paper]
Can You Share Your Story? Modeling Clients' Metacognition and Openness for LLM Therapist Evaluation
Minju Kim, Dongje Yoo, Yeonjun Hwang, Minseok Kang, Namyoung Kim, Minju Gwak, Beong-woo Kwak, Hyungjoo Chae, Harim Kim, Yunjoong Lee, Min Hee Kim, Dayi jung, Kyong-Mee Chung, Jinyoung Yeo
ACL 2025 Findings
[paper]
One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL
{Hyungjoo Chae, Dongjin Kang}, Jihyuk Kim, Beong-woo Kwak, Sunghyun Park, Haeju Park, Jinyoung Yeo, Moontae Lee, Kyungjae Lee
ACL 2025 Industry
[paper]
Age-Related Scattered Hypofluorescent Spots as an Adverse Prognostic Factor for Polypoidal Choroidal Vasculopathy
{Seo Hee Kim, Kai Tzu-iunn Ong}, Seonghee Choi, Eun Jee Chung, Min Kim, Christopher Seungkyu Lee, Jinyoung Yeo, Eun Young Choi
Ophthalmology Science, 2025
[paper]
Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation
Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee
SIGIR 2025
[paper]
Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation
Hyungjoo Chae, Namyoung Kim, Kai Tzu-iunn Ong, Minju Gwak, Gwanwoo Song, Jihoon Kim, Sunghwan Kim, Dongha Lee, Jinyoung Yeo
ICLR 2025
[paper]
Towards Lifelong Dialogue Agents via Timeline-based Memory Management
{Kai Tzu-iunn Ong, Namyoung Kim}, Minju Gwak, Hyungjoo Chae, Taeyoon Kwon, Yohan Jo, Seung-won Hwang, Dongha Lee, Jinyoung Yeo
NAACL 2025
[paper]
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
NAACL 2025 Findings
[paper]
Predicting Branch Retinal Vein Occlusion Development using Multimodal Deep Learning and Pre-onset Fundus Hemisection Images
Eun Young Choi, Dongyoung Kim, Jinyeong Kim, Eunjin Kim, Hyunseo Lee, Jinyoung Yeo, Tae Keun Yoo, Min Kim
Nature Scientific Reports, 2025
[paper]
Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts
Soon Yoon, Sungho Ko, TongYoung Kim, SeungKu Kang, Jinyoung Yeo, Dongha Lee
WSDM 2025
[paper]
Web-Shepherd: Advancing PRMs for Reinforcing Web Agents
{Hyungjoo Chae, Sunghwan Kim, Junhee Cho}, Seungone Kim, Seungjun Moon, Gyeom Hwangbo , Dongha Lim, Minjin Kim, Yeonjun Hwang, Minju Gwak, Dongwook Choi, Minseok Kang, Gwanhoon Im, ByeongUng Cho, Hyojun Kim, Jun Hee Han, Taeyoon Kwon, Minju Kim, Beong-woo Kwak, Dongjin Kang, Jinyoung Yeo
NeurIPS 2025, Spotlight
[paper]
Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning
Yeongbin Seo, Dongha Lee, Jaehyung Kim, Jinyoung Yeo
NeurIPS 2025, Spotlight
[paper]
ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions
Beong-woo Kwak, Minju Kim, Dongha Lim, Hyungjoo Chae, Dongjin Kang, Sunghwan Kim, Dongil Yang, Jinyoung Yeo
EMNLP 2025 Findings
[paper]
PRINCIPLES: Synthetic Strategy Memory for Proactive Dialogue Agents
Namyoung Kim, Kai Tzu-iunn Ong, Yeonjun Hwang, Minseok Kang, Iiseo Jihn, Gayoung Kim, Minju Kim, Jinyoung Yeo
EMNLP 2025 Findings
[paper]
Stop Playing the Guessing Game! Evaluating Conversational Recommender Systems via Target-free User Simulation
SungHwan Kim, Tongyoung Kim, Kwangwook Seo, Jinyoung Yeo, Dongha Lee
EMNLP 2025 Findings
[paper]
Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching
Seoyeon Kim, Huiseo Kim, Chanjun Park, Jinyoung Yeo, Dongha Lee
EMNLP 2025 Findings
[paper]
Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance
Dongwook Choi, Taeyoon Kwon, Dongil Yang, Hyojun Kim, Jinyoung Yeo
XRMemory Workshop, IEEE ISMAR 2025
[paper]
Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
{Sunghwan Kim, Dongjin Kang}, Taeyoon Kwon, Hyungjoo Chae, Dongha Lee, Jinyoung Yeo
ACL 2025
[paper]
LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study
Dongil Yang, Minjin Kim, Sunghwan Kim, Beong-woo Kwak, Minjun Park, Jinseok Hong, Woontack Woo, Jinyoung Yeo
ACL 2025
[paper]
Can You Share Your Story? Modeling Clients' Metacognition and Openness for LLM Therapist Evaluation
Minju Kim, Dongje Yoo, Yeonjun Hwang, Minseok Kang, Namyoung Kim, Minju Gwak, Beong-woo Kwak, Hyungjoo Chae, Harim Kim, Yunjoong Lee, Min Hee Kim, Dayi jung, Kyong-Mee Chung, Jinyoung Yeo
ACL 2025 Findings
[paper]
One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL
{Hyungjoo Chae, Dongjin Kang}, Jihyuk Kim, Beong-woo Kwak, Sunghyun Park, Haeju Park, Jinyoung Yeo, Moontae Lee, Kyungjae Lee
ACL 2025 Industry
[paper]
Age-Related Scattered Hypofluorescent Spots as an Adverse Prognostic Factor for Polypoidal Choroidal Vasculopathy
{Seo Hee Kim, Kai Tzu-iunn Ong}, Seonghee Choi, Eun Jee Chung, Min Kim, Christopher Seungkyu Lee, Jinyoung Yeo, Eun Young Choi
Ophthalmology Science, 2025
[paper]
Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation
Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee
SIGIR 2025
[paper]
Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation
Hyungjoo Chae, Namyoung Kim, Kai Tzu-iunn Ong, Minju Gwak, Gwanwoo Song, Jihoon Kim, Sunghwan Kim, Dongha Lee, Jinyoung Yeo
ICLR 2025
[paper]
Towards Lifelong Dialogue Agents via Timeline-based Memory Management
{Kai Tzu-iunn Ong, Namyoung Kim}, Minju Gwak, Hyungjoo Chae, Taeyoon Kwon, Yohan Jo, Seung-won Hwang, Dongha Lee, Jinyoung Yeo
NAACL 2025
[paper]
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
NAACL 2025 Findings
[paper]
Predicting Branch Retinal Vein Occlusion Development using Multimodal Deep Learning and Pre-onset Fundus Hemisection Images
Eun Young Choi, Dongyoung Kim, Jinyeong Kim, Eunjin Kim, Hyunseo Lee, Jinyoung Yeo, Tae Keun Yoo, Min Kim
Nature Scientific Reports, 2025
[paper]
Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts
Soon Yoon, Sungho Ko, TongYoung Kim, SeungKu Kang, Jinyoung Yeo, Dongha Lee
WSDM 2025
[paper]
2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
Yeongbin Seo, Dongha Lee, Jinyoung Yeo
NeurIPS 2024
[paper]
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 (and NLRSE@ACL 2024), Featured in AK Daily Paper
[paper]
COFEE-GYM: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code
{Hyungjoo Chae, Taeyoon Kwon, Seungjun Moon}, Yongho Song, Dongjin Kang, Kai Tzu-iunn Ong, Beong-woo Kwak, Seonghyeon Bae, Seung-won Hwang, Jinyoung Yeo
EMNLP 2024
[paper]
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-shot Question Answering
{Sungho Ko, Hyunjin Cho}, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee
EMNLP 2024
[paper]
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
EMNLP 2024 Findings
[paper]
Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization
Kwangwook Seo, Jinyoung Yeo, Dongha Lee
EMNLP 2024 Findings
[paper]
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
ACL 2024, Outstanding Paper Award
[paper]
VERIFINER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models
{Seoyeon Kim, Kwangwook Seo}, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee
ACL 2024
[paper]
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
ACL 2024 Findings
[paper]
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-then-Assign Strategy
{Jieyong Kim, Ryang Heo}, Yongsik Seo, SeongKu Kang, Jinyoung Yeo, Dongha Lee
ACL 2024 Findings
[paper]
RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization
Seonglae Cho, Myungha Jang, Jinyoung Yeo, Dongha Lee
NAACL 2024, Demonstration
Commonsense-augmented Memory Construction and Management in Long-term Conversation via Context-aware Persona Refinement
Hana Kim, Kai Tzu-iunn Ong, Seoyeon Kim, Dongha Lee, Jinyoung Yeo
EACL 2024
(and KCC 2023, Best Paper Award)
Evidentiality-Aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering
{Yongho Song, Dahyun Lee}, Myungha Jang, Seung-won Hwang, Kyungjae Lee, Dongha Lee, Jinyoung Yeo
EACL 2024 Findings
Multi-task Deep Learning for Joint Detection of Necrotizing Viral and Non-infectious Retinitis from Common Blood and Serology Test Data
{Kai Tzu-iunn Ong, Taeyoon Kwon}, Harok Jang, Min Kim, Christopher Seungkyu Lee, Suk Ho Byeon, Sung Soo Kim, Jinyoung Yeo & Eun Young Choi
Investigative Ophthalmology & Visual Science (IOVS), 2024
Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
{Taeyoon Kwon, Kai Tzu-iunn Ong}, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Yongsik Sim, Beomseok Sohn, Dongha Lee, Jinyoung Yeo
AAAI 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
Yeongbin Seo, Dongha Lee, Jinyoung Yeo
NeurIPS 2024
[paper]
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 (and NLRSE@ACL 2024), Featured in AK Daily Paper
[paper]
COFEE-GYM: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code
{Hyungjoo Chae, Taeyoon Kwon, Seungjun Moon}, Yongho Song, Dongjin Kang, Kai Tzu-iunn Ong, Beong-woo Kwak, Seonghyeon Bae, Seung-won Hwang, Jinyoung Yeo
EMNLP 2024
[paper]
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-shot Question Answering
{Sungho Ko, Hyunjin Cho}, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee
EMNLP 2024
[paper]
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
EMNLP 2024 Findings
[paper]
Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization
Kwangwook Seo, Jinyoung Yeo, Dongha Lee
EMNLP 2024 Findings
[paper]
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
ACL 2024, Outstanding Paper Award
[paper]
VERIFINER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models
{Seoyeon Kim, Kwangwook Seo}, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee
ACL 2024
[paper]
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
ACL 2024 Findings
[paper]
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-then-Assign Strategy
{Jieyong Kim, Ryang Heo}, Yongsik Seo, SeongKu Kang, Jinyoung Yeo, Dongha Lee
ACL 2024 Findings
[paper]
RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization
Seonglae Cho, Myungha Jang, Jinyoung Yeo, Dongha Lee
NAACL 2024, Demonstration
Commonsense-augmented Memory Construction and Management in Long-term Conversation via Context-aware Persona Refinement
Hana Kim, Kai Tzu-iunn Ong, Seoyeon Kim, Dongha Lee, Jinyoung Yeo
EACL 2024
(and KCC 2023, Best Paper Award)
Evidentiality-Aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering
{Yongho Song, Dahyun Lee}, Myungha Jang, Seung-won Hwang, Kyungjae Lee, Dongha Lee, Jinyoung Yeo
EACL 2024 Findings
Multi-task Deep Learning for Joint Detection of Necrotizing Viral and Non-infectious Retinitis from Common Blood and Serology Test Data
{Kai Tzu-iunn Ong, Taeyoon Kwon}, Harok Jang, Min Kim, Christopher Seungkyu Lee, Suk Ho Byeon, Sung Soo Kim, Jinyoung Yeo & Eun Young Choi
Investigative Ophthalmology & Visual Science (IOVS), 2024
Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
{Taeyoon Kwon, Kai Tzu-iunn Ong}, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Yongsik Sim, Beomseok Sohn, Dongha Lee, Jinyoung Yeo
AAAI 2024
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, Dongyeop Kang, Jinyoung Yeo
EMNLP 2023
Natural Language Processing to Predict Isocitrate Dehydrogenase Genotype in Diffuse Glioma using MR Radiology Reports
Minjae Kim, Kai Tzu-iunn Ong, Seonah Choi, Jinyoung Yeo, Sooyon Kim, Kyunghwa Han, Ji Sun Park, Ho Sung Kim, Yoon Seong Choi, Sung Soo Ahn, Jinna Kim, Seung-Koo Lee, Beomseok Sohn
European Radiology, 2023
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification
Seungone Kim, Se June Joo, Yul Jang, Hyungjoo Chae, Jinyoung Yeo
EACL 2023, Demonstration
Evidence-Empowered Transfer Learning for Alzheimer's Disease
Kai Tzu-iunn Ong, Hana Kim, Minjin Kim, Jinseong Jang, Beomseok Sohn, Yoon Seong Choi, Dosik Hwang, Seong Jae Hwang, Jinyoung Yeo
IEEE International Symposium on Biomedical Imaging (ISBI), 2023
TUTORING: Instruction-grounded Conversational Agent for Language Learners
Hyungjoo Chae, Minjin Kim, Chaehyeong Kim, Wonseok Jeong, Hyejoong Kim, Junmyung Lee, Jinyoung Yeo
AAAI 2023, Demonstration
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
EMNLP 2023
Natural Language Processing to Predict Isocitrate Dehydrogenase Genotype in Diffuse Glioma using MR Radiology Reports
Minjae Kim, Kai Tzu-iunn Ong, Seonah Choi, Jinyoung Yeo, Sooyon Kim, Kyunghwa Han, Ji Sun Park, Ho Sung Kim, Yoon Seong Choi, Sung Soo Ahn, Jinna Kim, Seung-Koo Lee, Beomseok Sohn
European Radiology, 2023
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification
Seungone Kim, Se June Joo, Yul Jang, Hyungjoo Chae, Jinyoung Yeo
EACL 2023, Demonstration
Evidence-Empowered Transfer Learning for Alzheimer's Disease
Kai Tzu-iunn Ong, Hana Kim, Minjin Kim, Jinseong Jang, Beomseok Sohn, Yoon Seong Choi, Dosik Hwang, Seong Jae Hwang, Jinyoung Yeo
IEEE International Symposium on Biomedical Imaging (ISBI), 2023
TUTORING: Instruction-grounded Conversational Agent for Language Learners
Hyungjoo Chae, Minjin Kim, Chaehyeong Kim, Wonseok Jeong, Hyejoong Kim, Junmyung Lee, Jinyoung Yeo
AAAI 2023, Demonstration
2022
BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets
{Minju Kim, Chaehyeong Kim, Yongho Song}, Seung-won Hwang, Jinyoung Yeo
EMNLP 2022
Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization
{Seungone Kim, Se June Joo, Hyungjoo Chae, Chaehyeong Kim}, Seung-won Hwang, Jinyoung Yeo
COLING 2022
Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning
Yu Jin Kim, Beong-woo Kwak, Youngwook Kim, Reinald Kim Amplayo, Seung-won Hwang, Jinyoung Yeo
NAACL 2022
Dual Task Framework for Improving Persona-grounded Dialogue Dataset
{Minju Kim, Beong-woo Kwak}, Youngwook Kim, Hong-in Lee, Seung-won Hwang, Jinyoung Yeo
AAAI 2022
TrustAL: Trustworthy Active Learning using Knowledge Distillation
Beong-woo Kwak, Youngwook Kim, Yu Jin Kim, Seung-won Hwang, Jinyoung Yeo
AAAI 2022
DeepPDT-Net: Predicting the Outcome of Photodynamic Therapy for Chronic Central Serous Chorioretinopathy Using Two-Stage Multimodal Transfer Learning
{Tae Keun Yoo, Seo Hee Kim}, Min Kim, Christopher Seungkyu Lee, Suk Ho Byeon, Sung Soo Kim, Jinyoung Yeo & Eun Young Choi
Nature Scientific Reports, 2022
BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets
{Minju Kim, Chaehyeong Kim, Yongho Song}, Seung-won Hwang, Jinyoung Yeo
EMNLP 2022
Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization
{Seungone Kim, Se June Joo, Hyungjoo Chae, Chaehyeong Kim}, Seung-won Hwang, Jinyoung Yeo
COLING 2022
Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning
Yu Jin Kim, Beong-woo Kwak, Youngwook Kim, Reinald Kim Amplayo, Seung-won Hwang, Jinyoung Yeo
NAACL 2022
Dual Task Framework for Improving Persona-grounded Dialogue Dataset
{Minju Kim, Beong-woo Kwak}, Youngwook Kim, Hong-in Lee, Seung-won Hwang, Jinyoung Yeo
AAAI 2022
TrustAL: Trustworthy Active Learning using Knowledge Distillation
Beong-woo Kwak, Youngwook Kim, Yu Jin Kim, Seung-won Hwang, Jinyoung Yeo
AAAI 2022
DeepPDT-Net: Predicting the Outcome of Photodynamic Therapy for Chronic Central Serous Chorioretinopathy Using Two-Stage Multimodal Transfer Learning
{Tae Keun Yoo, Seo Hee Kim}, Min Kim, Christopher Seungkyu Lee, Suk Ho Byeon, Sung Soo Kim, Jinyoung Yeo & Eun Young Choi
Nature Scientific Reports, 2022
~2021
Label and Context Augmentation for Response Selection at DSTC8
{Myeongho Jeong, Seungtaek Choi}, Jinyoung Yeo, Seung-won Hwang
IEEE/ACM TASLP, 2021 (and SustaiNLP@EMNLP 2020)
Less is More: Attention Supervision with Counterfactuals for Text Classification
Seungtaek Choi, Haeju Park, Jinyoung Yeo, Seung-won Hwang
EMNLP 2020
Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability
Jinyoung Yeo, Seung-won Hwang, Sungchul Kim, Eunyee Koh, Nedim Lipka
IEEE TKDE, 2020
XINA: Explainable Instance Alignment using Dominance Relationship
Jinyoung Yeo, Haeju Park, Sanghoon Lee, Eric Wonhee Lee, Seung-won Hwang
IEEE TKDE, 2020 (and ICDE 2019 Abstract)
Learning with Limited Data for Multilingual Reading Comprehension
Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, Juho Lee
EMNLP 2019
Soft Representation Learning for Sparse Transfer
Haeju Park, Jinyoung Yeo, Gengyu Wang, Seung-won Hwang
ACL 2019
Translations as Additional Contexts for Sentence Classification
Reinald Kim Amplayo, Kyungjae Lee, Jinyoung Yeo, Seung-won Hwang
IJCAI 2018
Visual Choice of Plausible Alternatives: An Evaluation of Image-based Commonsense Causal Reasoning
Jinyoung Yeo, {Gyungbok Lee, Gengyu Wang}, Seungtaek Choi, Hyunsouk Cho, Reinald Kim Amplayo, Seung-won Hwang
LREC 2018
Machine-translated Knowledge Transfer for Commonsense Causal Reasoning
Jinyoung Yeo, Gengyu Wang, Hyunsouk Cho, Seungtaek Choi, Seung-won Hwang
AAAI 2018
Efficient Keyword-aware Representative Travel Route Recommendation
Yu-Ting Wen, Jinyoung Yeo, Wen-Chih Peng, Seung-won Hwang
IEEE TKDE, 2017
Multimodal KB Harvesting for Emerging Spatial Entities
Jinyoung Yeo, Hyunsouk Cho, Jin-woo Park, Seung-won Hwang
IEEE TKDE, 2017
Predicting Online Purchase Conversion for Retargeting
Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka
WSDM 2017
Event Grounding from Multimodal Social Network Fusion
{Hyunsouk Cho, Jinyoung Yeo}, Seung-won Hwang
ICDM 2016
Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site
Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka
WWW 2016
Purchase Influence Mining: Identifying Top-k Items Attracting Purchase of Target Item
Sungchul Kim, Jinyoung Yeo, Eunyee Koh, Nedim Lipka
WWW 2016
Understanding Emerging Spatial Entities
Jinyoung Yeo, Jin-woo Park, Seung-won Hwang
AAAI 2016
KSTR: Keyword-aware Skyline Travel Route Recommendation
Yu-Ting Wen, Kae-Jer Cho, Wen-Chih Peng, Jinyoung Yeo, Seung-won Hwang
ICDM 2015
Finding Influential Products on Social Domination Game
Jinyoung Yeo, Jin-woo Park, Seung-won Hwang
CIKM 2012
Label and Context Augmentation for Response Selection at DSTC8
{Myeongho Jeong, Seungtaek Choi}, Jinyoung Yeo, Seung-won Hwang
IEEE/ACM TASLP, 2021 (and SustaiNLP@EMNLP 2020)
Less is More: Attention Supervision with Counterfactuals for Text Classification
Seungtaek Choi, Haeju Park, Jinyoung Yeo, Seung-won Hwang
EMNLP 2020
Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability
Jinyoung Yeo, Seung-won Hwang, Sungchul Kim, Eunyee Koh, Nedim Lipka
IEEE TKDE, 2020
XINA: Explainable Instance Alignment using Dominance Relationship
Jinyoung Yeo, Haeju Park, Sanghoon Lee, Eric Wonhee Lee, Seung-won Hwang
IEEE TKDE, 2020 (and ICDE 2019 Abstract)
Learning with Limited Data for Multilingual Reading Comprehension
Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, Juho Lee
EMNLP 2019
Soft Representation Learning for Sparse Transfer
Haeju Park, Jinyoung Yeo, Gengyu Wang, Seung-won Hwang
ACL 2019
Translations as Additional Contexts for Sentence Classification
Reinald Kim Amplayo, Kyungjae Lee, Jinyoung Yeo, Seung-won Hwang
IJCAI 2018
Visual Choice of Plausible Alternatives: An Evaluation of Image-based Commonsense Causal Reasoning
Jinyoung Yeo, {Gyungbok Lee, Gengyu Wang}, Seungtaek Choi, Hyunsouk Cho, Reinald Kim Amplayo, Seung-won Hwang
LREC 2018
Machine-translated Knowledge Transfer for Commonsense Causal Reasoning
Jinyoung Yeo, Gengyu Wang, Hyunsouk Cho, Seungtaek Choi, Seung-won Hwang
AAAI 2018
Efficient Keyword-aware Representative Travel Route Recommendation
Yu-Ting Wen, Jinyoung Yeo, Wen-Chih Peng, Seung-won Hwang
IEEE TKDE, 2017
Multimodal KB Harvesting for Emerging Spatial Entities
Jinyoung Yeo, Hyunsouk Cho, Jin-woo Park, Seung-won Hwang
IEEE TKDE, 2017
Predicting Online Purchase Conversion for Retargeting
Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka
WSDM 2017
Event Grounding from Multimodal Social Network Fusion
{Hyunsouk Cho, Jinyoung Yeo}, Seung-won Hwang
ICDM 2016
Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site
Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka
WWW 2016
Purchase Influence Mining: Identifying Top-k Items Attracting Purchase of Target Item
Sungchul Kim, Jinyoung Yeo, Eunyee Koh, Nedim Lipka
WWW 2016
Understanding Emerging Spatial Entities
Jinyoung Yeo, Jin-woo Park, Seung-won Hwang
AAAI 2016
KSTR: Keyword-aware Skyline Travel Route Recommendation
Yu-Ting Wen, Kae-Jer Cho, Wen-Chih Peng, Jinyoung Yeo, Seung-won Hwang
ICDM 2015
Finding Influential Products on Social Domination Game
Jinyoung Yeo, Jin-woo Park, Seung-won Hwang
CIKM 2012