University of WashingtonSep. 2023 - Present
Ph.D. Student (advisors: Luke Zettlemoyer and Dieter Fox)
Korea Advanced Institute of Science and Technology (KAIST) Mar. 2021 - Aug. 2023
M.S. in Artificial Intelligence (advisor: Minjoon Seo)
Korea UniversityMar. 2017 - Feb. 2021
B.S. in Computer Science
Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
Joel Jang, Seungone Kim, Bill Yuchen Lin, Yizhong Wang, Jack Hessel, Luke Zettlemoyer, Hannaneh Hajishirzi, Yejin Choi, Prithviraj Ammanabrolu
Preprint
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Seungone Kim*, Jamin Shin*, Yejin Cho*, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo
ICLR 2024
Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis
Sohee Yang, Jonghyeon Kim, Joel Jang, Seonghyeon Ye, Hyunji Lee, Minjoon Seo
TACL 2024
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Seungone Kim*, Se June Joo*, Doyoung Kim, Joel Jang, Seonghyeon Ye, Jamin Shin, Minjoon Seo
EMNLP 2023
Retrieval of Soft Prompt Enhances Zero-shot Task Generalization
Seonghyeon Ye, Joel Jang, Doyoung Kim, Yongrae Jo, Minjoon Seo
EMNLP 2023 Findings
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran, Minjoon Seo
ACL 2023
Gradient Ascent Post-training Enhances Language Model Generalization
Dongkeun Yoon*, Joel Jang*, Sungdong Kim, Minjoon Seo
ACL 2023 (short)
Prompt Injection: Parameterization of Fixed Inputs
Eunbi Choi, Yongrae Jo, Joel Jang, Minjoon Seo
ACL 2023 Findings
Exploring the Benefits of Training Expert Language Models over Instruction Tuning
Joel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo
ICML 2023
Guess the Instruction! Making Language Models Stronger Zero-Shot Learners
Seonghyeon Ye, Doyoung Kim, Joel Jang, Joongbo Shin, Minjoon Seo
ICLR 2023
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts
Joel Jang*, Seonghyeon Ye*, Minjoon Seo
NeurIPS 2022 Workshop on Transfer Learning for NLP (TL4NLP)
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
Joel Jang*, Seonghyeon Ye*, Changho Lee, Sohee Yang, Joongbo Shin, Janghoon Han, Gyeonghun Kim, Minjoon Seo
EMNLP 2022
Towards Continual Knowledge Learning of Language Models
Joel Jang, Seonghyeon Ye, Sohee Yang, Joongbo Shin, Janghoon Han, Gyeonghun Kim, Stanley Jungkyu Choi, Minjoon Seo
ICLR 2022
Sequential targeting: A continual learning approach for data imbalance in text classification
Joel Jang, Yoonjeon Kim, Kyoungho Choi, Sungho Suh
Expert Systems with Applications (2021)
Full CV in PDF.