| 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 | 151 | 2023 |
| 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 | 149 | 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 | 142 | 2022 |
| 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 | 135 | 2024 |
| 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 | 90 | 2022 |
| 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 | 86 | 2023 |
| 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 | 80 | 2023 |
| 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 | 72 | 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 | 63 | 2023 |
| Guess the Instruction! Making Language Models Stronger Zero-Shot Learners S Ye, D Kim, J Jang, J Shin, M Seo ICLR 2023, 2023 | 35* | 2023 |
| 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 | 34* | 2021 |
| Fixed Input Parameterization for Efficient Prompting E Choi, Y Jo, J Jang, J Jang, M Seo ACL 2023 Findings, 2023 | 30* | 2023 |
| Supervised health stage prediction using convolutional neural networks for bearing wear S Suh, J Jang, S Won, MS Jha, YO Lee Sensors 20 (20), 5846, 2020 | 26 | 2020 |
| Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt S Ye, J Jang, D Kim, Y Jo, M Seo EMNLP 2023 Findings, 12288-12309, 2023 | 12* | 2023 |
| LangBridge: Multilingual Reasoning Without Multilingual Supervision D Yoon, J Jang, S Kim, S Kim, S Shafayat, M Seo ACL 2024, 2024 | 11 | 2024 |
| Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis S Yang, J Kim, J Jang, S Ye, H Lee, M Seo TACL 2024, 2024 | 9 | 2024 |
| Latent Action Pretraining From Videos S Ye*, J Jang*, B Jeon, S Joo, J Yang, B Peng, A Mandlekar, R Tan, ... ICLR 2025, 2025 | 8 | 2025 |
| Exploring the practicality of generative retrieval on dynamic corpora S Yoon, C Kim, H Lee, J Jang, S Yang, M Seo EMNLP 2024, 2024 | 6* | 2024 |
| How Well Do Large Language Models Truly Ground? H Lee, S Joo, C Kim, J Jang, D Kim, KW On, M Seo NAACL 2024, 2024 | 5 | 2024 |
| Music2Video: Automatic Generation of Music Video with fusion of audio and text Y Kim*, J Jang*, S Shin* arXiv preprint arXiv:2201.03809, 2022 | 4 | 2022 |
Minjoon SeoKAISTVerified email at kaist.ac.kr