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Po-Nien Kung
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2020 – today
- 2024
- [c8]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: 18751-18759 - [c7]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: 23811-23813 - [c6]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: 2842-2863 - [i8]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 abs/2403.02586 (2024) - [i7]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 abs/2404.04763 (2024) - [i6]Honghua Zhang, Po-Nien Kung, Masahiro Yoshida, Guy Van den Broeck, Nanyun Peng:
Adaptable Logical Control for Large Language Models. CoRR abs/2406.13892 (2024) - 2023
- [c5]Po-Nien Kung, Nanyun Peng:
Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning. ACL (2) 2023: 1317-1328 - [c4]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: 1813-1829 - [c3]Alexander K. Taylor
, Nuan Wen
Where Does Your News Come From? Predicting Information Pathways in Social Media. SIGIR 2023: 2511-2515 - [i5]Po-Nien Kung, Nanyun Peng:
Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning. CoRR abs/2305.11383 (2023) - [i4]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 abs/2305.15090 (2023) - [i3]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 abs/2310.02529 (2023) - [i2]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 abs/2311.00288 (2023) - 2021
- [c2]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: 416-428 - [i1]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 abs/2110.05221 (2021) - 2020
- [c1]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: 2187-2197
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