| Knowledge Unlearning for Mitigating Privacy Risks in Language Models J Jang, D Yoon, S Yang, S Cha, M Lee, L Logeswaran, M Seo ACL 2023, 2023 | 389 | 2023 |
| Prometheus: Inducing fine-grained evaluation capability in language models S Kim, J Shin, Y Cho, J Jang, S Longpre, H Lee, S Yun, S Shin, S Kim, ... ICLR 2024, 2024 | 363 | 2024 |
| Gr00t n1: An open foundation model for generalist humanoid robots J Bjorck, F Castañeda, N Cherniadev, X Da, R Ding, L Fan, Y Fang, D Fox, ... Technical Report, 2025 | 299 | 2025 |
| Camels in a changing climate: Enhancing lm adaptation with tulu 2 H Ivison, Y Wang, V Pyatkin, N Lambert, M Peters, P Dasigi, J Jang, ... arXiv preprint arXiv:2311.10702, 2023 | 278 | 2023 |
| Personalized soups: Personalized large language model alignment via post-hoc parameter merging J Jang, S Kim, BY Lin, Y Wang, J Hessel, L Zettlemoyer, H Hajishirzi, ... NeurIPS 2024 AFM Workshop, 2023 | 221 | 2023 |
| Towards Continual Knowledge Learning of Language Models J Jang, S Ye, S Yang, J Shin, J Han, G KIM, SJ Choi, M Seo ICLR 2022, 2022 | 201 | 2022 |
| Latent Action Pretraining From Videos S Ye*, J Jang*, B Jeon, S Joo, J Yang, B Peng, A Mandlekar, R Tan, ... ICLR 2025, 2025 | 162 | 2025 |
| The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning S Kim, SJ Joo, D Kim, J Jang, S Ye, J Shin, M Seo EMNLP 2023, 2023 | 152 | 2023 |
| TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models J Jang*, S Ye*, C Lee, S Yang, J Shin, J Han, G Kim, M Seo EMNLP 2022, 2022 | 129 | 2022 |
| Magma: A foundation model for multimodal ai agents J Yang, R Tan, Q Wu, R Zheng, B Peng, Y Liang, Y Gu, M Cai, S Ye, ... CVPR 2025, 2025 | 105 | 2025 |
| Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts J Jang*, S Ye*, M Seo NeurIPS 2022 Workshop on Transfer Learning for NLP (TL4NLP), 2022 | 98 | 2022 |
| Exploring the benefits of training expert language models over instruction tuning J Jang, S Kim, S Ye, D Kim, L Logeswaran, M Lee, K Lee, M Seo ICML 2023, 2023 | 96 | 2023 |
| HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation Y Li, Y Deng, J Zhang, J Jang, M Memmel, CR Garrett, F Ramos, D Fox, ... ICLR 2025, 2025 | 66 | 2025 |
| Grape: Generalizing robot policy via preference alignment Z Zhang, K Zheng, Z Chen, J Jang, Y Li, S Han, C Wang, M Ding, D Fox, ... arXiv preprint arXiv:2411.19309, 2024, 2024 | 58 | 2024 |
| Sequential targeting: A continual learning approach for data imbalance in text classification J Jang, Y Kim, K Choi, S Suh Expert Systems with Applications 179, 115067, 2021 | 47* | 2021 |
| Guess the Instruction! Making Language Models Stronger Zero-Shot Learners S Ye, D Kim, J Jang, J Shin, M Seo ICLR 2023, 2023 | 43* | 2023 |
| Noah A. smith, iz Beltagy, and Hannaneh Hajishirzi H Ivison, Y Wang, V Pyatkin, N Lambert, M Peters, P Dasigi, J Jang, ... Camels in a changing climate: Enhancing lm adaptation with tulu 2, 2023 | 41 | 2023 |
| DreamGen: Unlocking Generalization in Robot Learning through Video World Models J Jang, S Ye, Z Lin, J Xiang, J Bjorck, Y Fang, F Hu, S Huang, K Kundalia, ... CoRL 2025, 2025 | 40* | 2025 |
| Fixed Input Parameterization for Efficient Prompting E Choi, Y Jo, J Jang, J Jang, M Seo ACL 2023 Findings, 2023 | 39* | 2023 |
| LangBridge: Multilingual Reasoning Without Multilingual Supervision D Yoon, J Jang, S Kim, S Kim, S Shafayat, M Seo ACL 2024, 2024 | 37 | 2024 |
Minjoon SeoConfig Intelligence; KAISTVerified email at kaist.ac.kr
