Po-Nien Kung

According to our database, Po-Nien Kung authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptable Logical Control for Large Language Models.

Honghua Zhang, Po-Nien Kung, Masahiro Yoshida, Guy Van den Broeck, Nanyun Peng

CoRR, 2024

GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling.

Hritik Bansal, Po-Nien Kung, P. Jeffrey Brantingham, Kai-Wei Chang, Nanyun Peng

CoRR, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

STAR: Boosting Low-Resource Event 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

CoRR, 2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning.

Po-Nien Kung, Nanyun Peng

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2021

Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems.

Po-Nien Kung, Chung-Cheng Chang, Tse-Hsuan Yang, Hsin-Kai Hsu, Yu-Jia Liou, Yun-Nung Chen

CoRR, 2021

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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020