| 2026 | ACL | Decoupling Task-Solving and Output Formatting in LLM Generation. | Haikang Deng, Po-Nien Kung, Nanyun Peng |
| 2024 | AAAI | MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways. | Mingyu Derek Ma, Alexander K. Taylor, Nuan Wen, Yanchen Liu, Po-Nien Kung, Wenna Qin, Shicheng Wen, Azure Zhou, Diyi Yang, Xuezhe Ma, Nanyun Peng, Wei Wang |
| 2024 | AAAI | STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models. | Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P. Jeffrey Brantingham, Nanyun Peng, Wei Wang |
| 2024 | ACL | Improving Event Definition Following For Zero-Shot Event Detection. | Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng |
| 2023 | ACL | Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning. | Po-Nien Kung, Nanyun Peng |
| 2023 | EMNLP | Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. | Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng |
| 2023 | SIGIR | Where Does Your News Come From? Predicting Information Pathways in Social Media. | Alexander K. Taylor, Nuan Wen, Po-Nien Kung, Jiaao Chen, Violet Peng, Wei Wang |
| 2021 | EMNLP | Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature Similarity. | Po-Nien Kung, Sheng-Siang Yin, Yi-Cheng Chen, Tse-Hsuan Yang, Yun-Nung Chen |
| 2020 | EMNLP | Zero-Shot Rationalization by Multi-Task Transfer Learning from Question Answering. | Po-Nien Kung, Tse-Hsuan Yang, Yi-Cheng Chen, Sheng-Siang Yin, Yun-Nung Chen |