Yinhao Bai

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Prediction Accuracy

Topological Map

Coreference Resolution

Top Venues

Publications

Yinhao Bai, Yalan Xie, Xiaoyi Liu, Yuhua Zhao, Zhixin Han, Mengting Hu, Hang Gao, Renhong Cheng
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction. ACL (1) (2024)
Yinhao Bai, Yalan Xie, Xiaoyi Liu, Yuhua Zhao, Zhixin Han, Mengting Hu, Hang Gao, Renhong Cheng
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction. CoRR (2024)
Zhuowei Zhang, Mengting Hu, Yinhao Bai, Zhen Zhang
Coreference Graph Guidance for Mind-Map Generation. AAAI (2024)
Yinhao Bai, Yuhua Zhao, Zhixin Han, Hang Gao, Chao Xue, Mengting Hu
Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence. KDD (2024)
Liqi Zhang, Lianhe Yang, Yinhao Bai, Hongfei Zhu, Xingyu Liu
R-TES: Regularized Template Style for Generative Joint Relational Triple Extraction. MLNLP (2023)
Mengting Hu, Yinhao Bai, Yike Wu, Zhen Zhang, Liqi Zhang, Hang Gao, Shiwan Zhao, Minlie Huang
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction. CoRR (2023)
Zhuowei Zhang, Mengting Hu, Yinhao Bai, Zhen Zhang
Coreference Graph Guidance for Mind-Map Generation. CoRR (2023)
Mengting Hu, Yinhao Bai, Yike Wu, Zhen Zhang, Liqi Zhang, Hang Gao, Shiwan Zhao, Minlie Huang
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction. ACL (Findings) (2023)
Mengting Hu, Yike Wu, Hang Gao, Yinhao Bai, Shiwan Zhao
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation. EMNLP (2022)
Mengting Hu, Hang Gao, Yinhao Bai, Mingming Liu
Classical Sequence Match Is a Competitive Few-Shot One-Class Learner. COLING (2022)
Mengting Hu, Yike Wu, Hang Gao, Yinhao Bai, Shiwan Zhao
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation. CoRR (2022)
Mengting Hu, Hang Gao, Yinhao Bai, Mingming Liu
Classical Sequence Match is a Competitive Few-Shot One-Class Learner. CoRR (2022)