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 (EMNLP (Findings), 2020)

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 (EMNLP (1), 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)

Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning. - Po-Nien Kung; Nanyun Peng 001 (ACL (2), 2023)

Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. - Po-Nien Kung; Fan Yin; Di Wu 054; Kai-Wei Chang; Nanyun Peng 001 (EMNLP, 2023)

Where Does Your News Come From? Predicting Information Pathways in Social Media. - Alexander K. Taylor 002; Nuan Wen; Po-Nien Kung; Jiaao Chen; Violet Peng; Wei Wang 010 (SIGIR, 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 001; Wei Wang 010 (CoRR, 2023)

MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways. - Mingyu Derek Ma; Alexander K. Taylor 002; Nuan Wen; Yanchen Liu; Po-Nien Kung; Wenna Qin; Shicheng Wen; Azure Zhou; Diyi Yang; Xuezhe Ma; Nanyun Peng 001; Wei Wang 010 (AAAI, 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 001; Wei Wang 010 (AAAI, 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 010; Nanyun Peng 001 (ACL (1), 2024)

Adaptable Logical Control for Large Language Models. - Honghua Zhang; Po-Nien Kung; Masahiro Yoshida; Guy Van den Broeck; Nanyun Peng 001 (NeurIPS, 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 001 (CoRR, 2024)