Applied Scientist Intern @ Amazon | Ph.D. @ KAIST
Email: yj2961@kaist.ac.kr / passing2961@gmail.com
Github: https://github.com/passing2961
LinkedIn: https://www.linkedin.com/in/passing2961/
CV: link
Google Scholar: link
Research Interests
Robust Reasoning Model
Open-domain Dialogue System (Empathetic Dialogue, Personalized Dialogue)
Multi-Turn Interaction
Large Language and Vision Model
Work Experience
Amazon AGI Applied Scientist Intern (from July 7th to Oct. 10th)
Recent News
June 2025 1 paper has been accepted to ICCV 2025 🎉
Oct. 2024 2 paper has been released (IP-LLVM & Thanos)
Sep. 2024 2 papers have been accepted to EMNLP 2024 🎉
Publications (C: Conference / W: Workshop (archival) / J: Journal / P: Preprint / *: Equal Contribution)
[P] RefineBench: Evaluating Refinement Capability in Language Models
Young-Jun Lee*, Seungone Kim*, Byung-Kwan Lee, Minkyeong Moon, Yechan Hwang, Jong Myoung Kim, Graham Neubig, Sean Welleck, Ho-Jin Choi
under review
[C11] MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision and Language Models
Young-Jun Lee, Byung-Kwan Lee, Jianshu Zhang, Yechan Hwang, Byungsoo Ko, Han-Gyu Kim, Dongyu Yao, Xuankun Rong, Eojin Joo, Seung-Ho Han, Bowon Ko, Ho-Jin Choi
ICCV 2025
[C7] Large Language Models can Share Images, Too! [paper] [code] [dataset]
Young-Jun Lee, Dokyong Lee, Joo Won Sung, Jonghwan Hyeon, Ho-Jin Choi
Neural Conversational AI Workshop - What’s left to TEACH (Trustworthy, Enhanced, Adaptable, Capable and Human-centric) chatbots? on ICML 2023
ACL 2024 (long, findings)
[J1] Improving speech emotion recognition by fusing self-supervised learning and spectral features via mixture of experts [paper]
Jonghwan Hyeon, Yung-Hwan Oh, Young-Jun Lee, Ho-Jin Choi
Data & Knowledge Engineering (DKE)
[W3] Augmentation for Context in Financial Numerical Reasoning over Textual and Tabular Data with Large-Scale Language Model
Yechan Hwang*, Jinsu Lim*, Young-Jun Lee, Ho-Jin Choi
Table Representation Learning (TRL) Workshop @ NeurIPS 2023
[W2] Let's Put Speaker into Interlocutor's Shoes! Exploring the Impact of Zero-Shot Chain-of-Thought on Empathy
Young-Jun Lee, Dokyong Lee, Jihui Im, Joo Won Sung, Ho-Jin Choi
Instruction Workshop @ NeurIPS 2023
[C4] Semantic Ambiguity Detection in Sentence Classification using Task-Specific Embeddings [paper]
Jong Myoung Kim, Young-Jun Lee, Sangkeun Jung, Ho-Jin Choi
ACL 2023 Industry Track
For Adot Service
[C1] Deep learning based response generation using emotion feature extraction [paper]
Young-Jun Lee, Ho-Jin-Choi
IEEE International Conference on Big Data and Smart Computing (BigComp) 2020
Best Paper Award 1st
Honors & Awards
Outstanding Paper Award, HCLT 2023 Oct. 2023
Best Paper Award, CCGPK Workshop on COLING 2022 Oct. 2022
Best Paper Award (1st), IEEE BigComp 2020 Feb. 2020
Dean’s list scholarship for Academic Excellence, SKKU Nov. 2014
Education
Ph.D. student, School of Computing at Korea Advanced Institute of Science & Technology (KAIST) Sep. 2019 - Present
Master’s degree, School of Computing at Korea Advanced Institute of Science & Technology (KAIST) Aug. 2017 - Aug. 2019
Bachelor’s degree, Software Department at Sungkyunkwan University (SKKU) Mar. 2013 - June. 2017