Sequential Targeting: an incremental learning approach for data imbalance in text classification. - Joel Jang; Yoonjeon Kim; Kyoungho Choi; Sungho Suh (CoRR, 2020)

Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear. - Sungho Suh; Joel Jang; Seungjae Won; Mayank Shekhar Jha; Yong Oh Lee (Sensors, 2020)

Sequential targeting: A continual learning approach for data imbalance in text classification. - Joel Jang; Yoonjeon Kim; Kyoungho Choi; Sungho Suh (Expert Syst. Appl., 2021)

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)

Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts. - Joel Jang; Seonghyeon Ye; Minjoon Seo (TL4NLP, 2022)

Music2Video: Automatic Generation of Music Video with fusion of audio and text. - Joel Jang; Sumin Shin; Yoonjeon Kim (CoRR, 2022)

Prompt Injection: Parameterization of Fixed Inputs. - Eunbi Choi; Yongrae Jo; Joel Jang; Minjoon Seo (CoRR, 2022)

Retrieval of Soft Prompt Enhances Zero-Shot Task Generalization. - Seonghyeon Ye; Joel Jang; Doyoung Kim 001; Yongrae Jo; Minjoon Seo (CoRR, 2022)

Fixed Input Parameterization for Efficient Prompting. - Eunbi Choi; Yongrae Jo; Joel Jang; Joonwon Jang; Minjoon Seo (ACL (Findings), 2023)

Knowledge Unlearning for Mitigating Privacy Risks in Language Models. - Joel Jang; Dongkeun Yoon; Sohee Yang; Sungmin Cha; Moontae Lee; Lajanugen Logeswaran; Minjoon Seo (ACL (1), 2023)

Gradient Ascent Post-training Enhances Language Model Generalization. - Dongkeun Yoon; Joel Jang; Sungdong Kim; Minjoon Seo (ACL (2), 2023)

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 001; Joel Jang; Seonghyeon Ye; Jamin Shin; Minjoon Seo (EMNLP, 2023)

Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt. - Seonghyeon Ye; Joel Jang; Doyoung Kim 001; Yongrae Jo; Minjoon Seo (EMNLP (Findings), 2023)

Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners. - Seonghyeon Ye; Doyoung Kim 001; Joel Jang; Joongbo Shin; Minjoon Seo (ICLR, 2023)

Exploring the Benefits of Training Expert Language Models over Instruction Tuning. - Joel Jang; Seungone Kim; Seonghyeon Ye; Doyoung Kim 001; Lajanugen Logeswaran; Moontae Lee; Kyungjae Lee 002; Minjoon Seo (ICML, 2023)

Continually Updating Generative Retrieval on Dynamic Corpora. - Soyoung Yoon; Chaeeun Kim; Hyunji Lee; Joel Jang; Minjoon Seo (CoRR, 2023)

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 (CoRR, 2023)

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 001; Prithviraj Ammanabrolu (CoRR, 2023)

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2. - Hamish Ivison; Yizhong Wang; Valentina Pyatkin; Nathan Lambert 001; Matthew E. Peters; Pradeep Dasigi; Joel Jang; David Wadden; Noah A. Smith; Iz Beltagy; Hannaneh Hajishirzi (CoRR, 2023)

Semiparametric Token-Sequence Co-Supervision. - Hyunji Lee; Doyoung Kim 001; Jihoon Jun; Se June Joo; Joel Jang; Kyoung-Woon On; Minjoon Seo (ACL (1), 2024)

LangBridge: Multilingual Reasoning Without Multilingual Supervision. - Dongkeun Yoon; Joel Jang; Sungdong Kim; Seungone Kim; Sheikh Shafayat; Minjoon Seo (ACL (1), 2024)

Exploring the Practicality of Generative Retrieval on Dynamic Corpora. - Chaeeun Kim; Soyoung Yoon; Hyunji Lee; Joel Jang; Sohee Yang; Minjoon Seo (EMNLP, 2024)

Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models. - Seungone Kim; Jamin Shin; Yejin Choi 001; Joel Jang; Shayne Longpre; Hwaran Lee; Sangdoo Yun; Seongjin Shin; Sungdong Kim; James Thorne; Minjoon Seo (ICLR, 2024)

How Well Do Large Language Models Truly Ground? - Hyunji Lee; Se June Joo; Chaeeun Kim; Joel Jang; Doyoung Kim 001; Kyoung-Woon On; Minjoon Seo (NAACL-HLT, 2024)

GRAPE: Generalizing Robot Policy via Preference Alignment. - Zijian Zhang 010; Kaiyuan Zheng; Zhaorun Chen; Joel Jang; Yi Li 038; Chaoqi Wang; Mingyu Ding; Dieter Fox; Huaxiu Yao (CoRR, 2024)

Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis. - Sohee Yang; Jonghyeon Kim; Joel Jang; Seonghyeon Ye; Hyunji Lee; Minjoon Seo (Trans. Assoc. Comput. Linguistics, 2024)

Magma: A Foundation Model for Multimodal AI Agents. - Jianwei Yang; Reuben Tan; Qianhui Wu; Ruijie Zheng; Baolin Peng; Yongyuan Liang; Yu Gu 017; Mu Cai; Seonghyeon Ye; Joel Jang; Yuquan Deng; Jianfeng Gao 001 (CVPR, 2025)

HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation. - Yi Li 038; Yuquan Deng; Jesse Zhang; Joel Jang; Marius Memmel; Caelan Reed Garrett; Fabio Ramos 001; Dieter Fox; Anqi Li 001; Abhishek Gupta 004; Ankit Goyal 001 (ICLR, 2025)

Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition. - Jiyeon Kim; Hyunji Lee; Hyowon Cho; Joel Jang; Hyeonbin Hwang; Seungpil Won; Youbin Ahn; Dohaeng Lee; Minjoon Seo (ICLR, 2025)

Latent Action Pretraining from Videos. - Seonghyeon Ye; Joel Jang; Byeongguk Jeon; Se June Joo; Jianwei Yang; Baolin Peng; Ajay Mandlekar; Reuben Tan; Yu-Wei Chao; Bill Yuchen Lin; Lars Liden; Kimin Lee; et al. (ICLR, 2025)

The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. - Seungone Kim; Juyoung Suk; Ji Yong Cho; Shayne Longpre; Chaeeun Kim; Dongkeun Yoon; Guijin Son; Yejin Choi 001; Sheikh Shafayat; Jinheon Baek; Sue Hyun Park; Hyeonbin Hwang; et al. (NAACL (Long Papers), 2025)

HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation. - Yi Li 038; Yuquan Deng; Jesse Zhang; Joel Jang; Marius Memmel; Raymond Yu; Caelan Reed Garrett; Fabio Ramos 001; Dieter Fox; Anqi Li 001; Abhishek Gupta 004; Ankit Goyal 001 (CoRR, 2025)

Magma: A Foundation Model for Multimodal AI Agents. - Jianwei Yang; Reuben Tan; Qianhui Wu; Ruijie Zheng; Baolin Peng; Yongyuan Liang; Yu Gu 017; Mu Cai; Seonghyeon Ye; Joel Jang; Yuquan Deng; Lars Liden; et al. (CoRR, 2025)

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots. - Johan Bjorck; Fernando Castañeda; Nikita Cherniadev; Xingye Da; Runyu Ding; Linxi; Yu Fang; Dieter Fox; Fengyuan Hu; Spencer Huang; Joel Jang; Zhenyu Jiang 002; et al. (CoRR, 2025)

DreamGen: Unlocking Generalization in Robot Learning through Neural Trajectories. - Joel Jang; Seonghyeon Ye; Zongyu Lin; Jiannan Xiang; Johan Bjorck; Yu Fang; Fengyuan Hu; Spencer Huang; Kaushil Kundalia; Yen-Chen Lin; Loic Magne; Ajay Mandlekar; et al. (CoRR, 2025)

FLARE: Robot Learning with Implicit World Modeling. - Ruijie Zheng; Jing Wang; Scott Reed; Johan Bjorck; Yu Fang; Fengyuan Hu; Joel Jang; Kaushil Kundalia; Zongyu Lin; Loic Magne; Avnish Narayan; You Liang Tan; et al. (CoRR, 2025)

ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding. - Yiyang Zhou; Yangfan He; Yaofeng Su; Siwei Han; Joel Jang; Gedas Bertasius; Mohit Bansal; Huaxiu Yao (CoRR, 2025)