Po-Nien Kung

20 papers A* 5Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Structured Reasoning via Tractable Trajectory Control.
CoRR
Po-Nien Kung, Zhen Yang, Jeffrey Luo, Cheng-Fu Yang, Haikang Deng, Zi-Yi Dou, Yinfei Yang, Nanyun Peng, Zhe Gan, Kai-Wei Chang
2025 J jnl
Decoupling Task-Solving and Output Formatting in LLM Generation.
CoRR
Haikang Deng, Po-Nien Kung, Nanyun Peng
2025 J jnl
LLM-REVal: Can We Trust LLM Reviewers Yet?
CoRR
Rui Li, Jia-Chen Gu, Po-Nien Kung, Heming Xia, Junfeng Liu, Xiangwen Kong, Zhifang Sui, Nanyun Peng
2024 A* conf
Adaptable Logical Control for Large Language Models.
NeurIPS
Honghua Zhang, Po-Nien Kung, Masahiro Yoshida, Guy Van den Broeck, Nanyun Peng
2024 J jnl
Adaptable Logical Control for Large Language Models.
CoRR
Honghua Zhang, Po-Nien Kung, Masahiro Yoshida, Guy Van den Broeck, Nanyun Peng
2024 J jnl
GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling.
CoRR
Hritik Bansal, Po-Nien Kung, P. Jeffrey Brantingham, Kai-Wei Chang, Nanyun Peng
2024 — conf
Improving Event Definition Following For Zero-Shot Event Detection.
ACL (1)
Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng
2024 J jnl
Improving Event Definition Following For Zero-Shot Event Detection.
CoRR
Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng
2024 A* conf
MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways.
AAAI
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 A* conf
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models.
AAAI
Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P. Jeffrey Brantingham, Nanyun Peng, Wei Wang
2023 A* conf
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks.
EMNLP
Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng
2023 J jnl
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks.
CoRR
Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng
2023 — conf
Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning.
ACL (2)
Po-Nien Kung, Nanyun Peng
2023 J jnl
Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning.
CoRR
Po-Nien Kung, Nanyun Peng
2023 J jnl
MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways.
CoRR
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
2023 J jnl
STAR: Boosting Low-Resource Event Extraction by Structure-to-Text Data Generation with Large Language Models.
CoRR
Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P. Jeffrey Brantingham, Nanyun Peng, Wei Wang
2023 A* conf
Where Does Your News Come From? Predicting Information Pathways in Social Media.
SIGIR
Alexander K. Taylor, Nuan Wen, Po-Nien Kung, Jiaao Chen, Violet Peng, Wei Wang
2021 — conf
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature Similarity.
EMNLP (1)
Po-Nien Kung, Sheng-Siang Yin, Yi-Cheng Chen, Tse-Hsuan Yang, Yun-Nung Chen
2021 J jnl
Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems.
CoRR
Po-Nien Kung, Chung-Cheng Chang, Tse-Hsuan Yang, Hsin-Kai Hsu, Yu-Jia Liou, Yun-Nung Chen
2020 — conf
Zero-Shot Rationalization by Multi-Task Transfer Learning from Question Answering.
EMNLP (Findings)
Po-Nien Kung, Tse-Hsuan Yang, Yi-Cheng Chen, Sheng-Siang Yin, Yun-Nung Chen