| Do models really learn to follow instructions? an empirical study of instruction tuning PN Kung, N Peng arXiv preprint arXiv:2305.11383, 2023 | 17 | 2023 |
| Efficient multi-task auxiliary learning: selecting auxiliary data by feature similarity PN Kung, SS Yin, YC Chen, TH Yang, YN Chen Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 14 | 2021 |
| Active instruction tuning: Improving cross-task generalization by training on prompt sensitive tasks PN Kung, F Yin, D Wu, KW Chang, N Peng arXiv preprint arXiv:2311.00288, 2023 | 9 | 2023 |
| Star: Boosting low-resource event extraction by structure-to-text data generation with large language models MD Ma, X Wang, PN Kung, PJ Brantingham, N Peng, W Wang arXiv preprint arXiv:2305.15090, 2023 | 8* | 2023 |
| Zero-Shot Rationalization by Multi-Task Transfer Learning from Question Answering PN Kung, TH Yang, YC Chen, SS Yin, YN Chen Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 8 | 2020 |
| Multi-task learning for situated multi-domain end-to-end dialogue systems PN Kung, CC Chang, TH Yang, HK Hsu, YJ Liou, YN Chen arXiv preprint arXiv:2110.05221, 2020 | 6 | 2020 |
| Where Does Your News Come From? Predicting Information Pathways in Social Media AK Taylor, N Wen, PN Kung, J Chen, V Peng, W Wang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 1 | 2023 |
| GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling H Bansal, PN Kung, PJ Brantingham, KW Chang, N Peng arXiv preprint arXiv:2404.04763, 2024 | | 2024 |
| MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways MD Ma, AK Taylor, N Wen, Y Liu, PN Kung, W Qin, S Wen, A Zhou, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23811 …, 2024 | | 2024 |
| Improving Event Definition Following For Zero-Shot Event Detection Z Cai*, PN Kung*, A Suvarna, MD Ma, H Bansal, B Chang, ... arXiv preprint arXiv:2403.02586, 2024 | | 2024 |
| Hierarchical Representations in Dense Passage Retrieval for Question-Answering P Ennen, F Freddi, CJ Lin, PN Kung, RC Wang, CY Yang, D Shiu, ... Proceedings of the Sixth Fact Extraction and VERification Workshop (FEVER …, 2023 | | 2023 |
Nanyun (Violet) PengAssistant Professor, UCLA在 cs.ucla.edu 的電子郵件地址已通過驗證
