Po-Nien Kung

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Composite Events

Event Extraction

Information Extraction

Top Venues

Publications

Hritik Bansal, Po-Nien Kung, P. Jeffrey Brantingham, Kai-Wei Chang, Nanyun Peng
GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling. CoRR (2024)
Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng
Improving Event Definition Following For Zero-Shot Event Detection. CoRR (2024)
Honghua Zhang, Po-Nien Kung, Masahiro Yoshida, Guy Van den Broeck, Nanyun Peng
Adaptable Logical Control for Large Language Models. CoRR (2024)
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
MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways. AAAI (2024)
Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P. Jeffrey Brantingham, Nanyun Peng, Wei Wang
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models. AAAI (2024)
Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng
Improving Event Definition Following For Zero-Shot Event Detection. ACL (1) (2024)
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
MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways. CoRR (2023)
Po-Nien Kung, Nanyun Peng
Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning. ACL (2) (2023)
Po-Nien Kung, Nanyun Peng
Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning. CoRR (2023)
Alexander K. Taylor, Nuan Wen, Po-Nien Kung, Jiaao Chen, Violet Peng, Wei Wang
Where Does Your News Come From? Predicting Information Pathways in Social Media. SIGIR (2023)
Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. EMNLP (2023)
Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. CoRR (2023)
Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P. Jeffrey Brantingham, Nanyun Peng, Wei Wang
STAR: Boosting Low-Resource Event Extraction by Structure-to-Text Data Generation with Large Language Models. CoRR (2023)
Po-Nien Kung, Chung-Cheng Chang, Tse-Hsuan Yang, Hsin-Kai Hsu, Yu-Jia Liou, Yun-Nung Chen
Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems. CoRR (2021)
Po-Nien Kung, Sheng-Siang Yin, Yi-Cheng Chen, Tse-Hsuan Yang, Yun-Nung Chen
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature Similarity. EMNLP (1) (2021)
Po-Nien Kung, Tse-Hsuan Yang, Yi-Cheng Chen, Sheng-Siang Yin, Yun-Nung Chen
Zero-Shot Rationalization by Multi-Task Transfer Learning from Question Answering. EMNLP (Findings) (2020)