Yixin Cao

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 27

Top Topics

Fusion Framework

Event Detection

Relation Extraction

Top Venues

EMNLP (Findings)

Publications

Tao He, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin
L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion. Data Min. Knowl. Discov. 38 (2) (2024)
Yubo Ma, Yixin Cao, Yong Hong, Aixin Sun
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! EMNLP (Findings) (2023)
Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Zheng Chu, Bing Qin
Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion. CoRR (2023)
Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. CoRR (2023)
Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li
Learning To Teach Large Language Models Logical Reasoning. CoRR (2023)
Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate. CoRR (2023)
Zhihua Tao, Chunping Ouyang, Yongbin Liu, Tong Lee Chung, Yixin Cao
Multi-head attention graph convolutional network model: End-to-end entity and relation joint extraction based on multi-head attention graph convolutional network. CAAI Trans. Intell. Technol. 8 (2) (2023)
Yubo Ma, Zehao Wang, Yixin Cao, Aixin Sun
Few-shot Event Detection: An Empirical Study and a Unified View. ACL (1) (2023)
Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun
Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. ACL (Findings) (2023)
Lin Ren, Yongbin Liu, Yixin Cao, Chunping Ouyang
CoVariance-based Causal Debiasing for Entity and Relation Extraction. EMNLP (Findings) (2023)
Yubo Ma, Yixin Cao, YongChing Hong, Aixin Sun
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! CoRR (2023)
Yu Zhao, Hao Fei, Yixin Cao, Bobo Li, Meishan Zhang, Jianguo Wei, Min Zhang, Tat-Seng Chua
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling. CoRR (2023)
Yuhan Sun, Mukai Li, Yixin Cao, Kun Wang, Wenxiao Wang, Xingyu Zeng, Rui Zhao
To be or not to be? an exploration of continuously controllable prompt engineering. CoRR (2023)
Yubo Ma, Zehao Wang, Yixin Cao, Aixin Sun
Few-shot Event Detection: An Empirical Study and a Unified View. CoRR (2023)
Jiahao Ying, Yixin Cao, Kai Xiong, Yidong He, Long Cui, Yongbin Liu
Intuitive or Dependent? Investigating LLMs' Robustness to Conflicting Prompts. CoRR (2023)
Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. EMNLP (Findings) (2023)
Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. ACL (1) (2023)
Meiqi Chen, Yixin Cao, Yan Zhang, Zhiwei Liu
CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification. ACL (1) (2023)
Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun
Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. CoRR (2023)
Hao Wang, Yixin Cao, Yangguang Li, Zhen Huang, Kun Wang, Jing Shao
R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference. EMNLP (2022)
Meiqi Chen, Yixin Cao, Kunquan Deng, Mukai Li, Kun Wang, Jing Shao, Yan Zhang
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification. CoRR (2022)
Linhai Zhuo, Yuqian Fu, Jingjing Chen, Yixin Cao, Yu-Gang Jiang
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning. CoRR (2022)
Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao
MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities. ACL (demo) (2022)
Linhai Zhuo, Yuqian Fu, Jingjing Chen, Yixin Cao, Yu-Gang Jiang
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning. ACM Multimedia (2022)
Hao Wang, Yixin Cao, Yangguang Li, Zhen Huang, Kun Wang, Jing Shao
F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference. CoRR (2022)
Yubo Ma, Zehao Wang, Yixin Cao, Mukai Li, Meiqi Chen, Kun Wang, Jing Shao
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction. ACL (1) (2022)
Meiqi Chen, Yixin Cao, Kunquan Deng, Mukai Li, Kun Wang, Jing Shao, Yan Zhang
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification. COLING (2022)