Yixin Cao

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 98

Top Venues

Publications

Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin
Planning Like Human: A Dual-process Framework for Dialogue Planning. CoRR (2024)
Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin
Planning Like Human: A Dual-process Framework for Dialogue Planning. ACL (1) (2024)
Meishan Zhang, Hao Fei, Bin Wang, Shengqiong Wu, Yixin Cao, Fei Li, Min Zhang
Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction. ACL (Findings) (2024)
Jiahao Ying, Yixin Cao, Kai Xiong, Long Cui, Yidong He, Yongbin Liu
Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting Prompts. ACL (1) (2024)
Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li
Improving Large Language Models in Event Relation Logical Prediction. ACL (1) (2024)
Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. CoRR (2024)
Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. CoRR (2024)
Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. ACL (1) (2024)
Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. ACL (Findings) (2024)
Meiqi Chen, Yixin Cao, Yan Zhang, Chaochao Lu
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective. CoRR (2024)
Heyan Huang, Changsen Yuan, Qian Liu, Yixin Cao
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning. ACM Trans. Inf. Syst. 42 (1) (2024)
Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. NAACL-HLT (2024)
Changyi Xiao, Yixin Cao
Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models. ACL (Findings) (2024)
Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, Aixin Sun
MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations. CoRR (2024)
Hao Peng, Xiaozhi Wang, Chunyang Li, Kaisheng Zeng, Jiangshan Duo, Yixin Cao, Lei Hou, Juanzi Li
Event-level Knowledge Editing. CoRR (2024)
Bo Wang, Heyan Huang, Yixin Cao, Jiahao Ying, Wei Tang, Chong Feng
QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism. CoRR (2024)
Jiahao Ying, Yixin Cao, Bo Wang, Wei Tang, Yizhe Yang, Shuicheng Yan
Have Seen Me Before? Automating Dataset Updates Towards Reliable and Timely Evaluation. CoRR (2024)
Changsen Yuan, Heyan Huang, Yixin Cao, Qianwen Cao
Screening through a broad pool: Towards better diversity for lexically constrained text generation. Inf. Process. Manag. 61 (2) (2024)
Haowen Pan, Yixin Cao, Xiaozhi Wang, Xun Yang, Meng Wang
Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers. ACL (Findings) (2024)
Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun, Hany Hassan Awadalla, Weizhu Chen
SciAgent: Tool-augmented Language Models for Scientific Reasoning. CoRR (2024)
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. ACM Multimedia (2023)
Haowen Pan, Yixin Cao, Xiaozhi Wang, Xun Yang
Finding and Editing Multi-Modal Neurons in Pre-Trained Transformer. CoRR (2023)
Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua
Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. CoRR (2023)
Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. EMNLP (Findings) (2023)
Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. CoRR (2023)
Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. EMNLP (2023)
Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. CoRR (2023)
Changyi Xiao, Xiangnan He, Yixin Cao
Knowledge Graph Embedding by Normalizing Flows. AAAI (2023)
Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat-Seng Chua
Robust Prompt Optimization for Large Language Models Against Distribution Shifts. EMNLP (2023)
Yushi Bai, Jiahao Ying, Yixin Cao, Xin Lv, Yuze He, Xiaozhi Wang, Jifan Yu, Kaisheng Zeng, Yijia Xiao, Haozhe Lyu, Jiayin Zhang, Juanzi Li, Lei Hou
Benchmarking Foundation Models with Language-Model-as-an-Examiner. CoRR (2023)
Changsen Yuan, Yixin Cao, Heyan Huang
Collective prompt tuning with relation inference for document-level relation extraction. Inf. Process. Manag. 60 (5) (2023)
Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua
Context-aware Event Forecasting via Graph Disentanglement. CoRR (2023)
Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua
Structured, Complex and Time-complete Temporal Event Forecasting. CoRR (2023)
Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. CoRR (2023)
Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan
FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation. CoRR (2023)
Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan
FollowupQG: Towards information-seeking follow-up question generation. IJCNLP (1) (2023)
Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua
Context-aware Event Forecasting via Graph Disentanglement. KDD (2023)
Changsen Yuan, Heyan Huang, Yixin Cao, Yonggang Wen
Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction. ACL (1) (2023)
Yushi Bai, Jiahao Ying, Yixin Cao, Xin Lv, Yuze He, Xiaozhi Wang, Jifan Yu, Kaisheng Zeng, Yijia Xiao, Haozhe Lyu, Jiayin Zhang, Juanzi Li, Lei Hou
Benchmarking Foundation Models with Language-Model-as-an-Examiner. NeurIPS (2023)
Li Lin, Yixin Cao, Lifu Huang, Shuang Li, Xuming Hu, Lijie Wen, Jianmin Wang
Inferring Commonsense Explanations as Prompts for Future Event Generation. CoRR (2022)
Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua
Training Free Graph Neural Networks for Graph Matching. CoRR (2022)
Kaisheng Zeng, Zhenhao Dong, Lei Hou, Yixin Cao, Minghao Hu, Jifan Yu, Xin Lv, Juanzi Li, Ling Feng
ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment. CoRR (2022)
Meihan Tong, Bin Xu, Shuai Wang, Meihuan Han, Yixin Cao, Jiangqi Zhu, Siyu Chen, Lei Hou, Juanzi Li
DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction. NAACL-HLT (2022)
Li Lin, Yixin Cao, Lifu Huang, Shuang Li, Xuming Hu, Lijie Wen, Jianmin Wang
What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. SIGIR (2022)
Weijian Chen, Yixin Cao, Fuli Feng, Xiangnan He, Yongdong Zhang
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network. CoRR (2022)
Xin Lv, Yankai Lin, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach. ACL (Findings) (2022)
Kaisheng Zeng, Zhenhao Dong, Lei Hou, Yixin Cao, Minghao Hu, Jifan Yu, Xin Lv, Lei Cao, Xin Wang, Haozhuang Liu, Yi Huang, Junlan Feng, Jing Wan, Juanzi Li, Ling Feng
Interactive Contrastive Learning for Self-Supervised Entity Alignment. CIKM (2022)
Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua
How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction. CoRR (2021)
Xin Lv, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Yichi Zhang, Zelin Dai
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability. CoRR (2021)
Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. ACL/IJCNLP (1) (2021)
Fuli Feng, Xilin Rui, Wenjie Wang, Yixin Cao, Tat-Seng Chua
Pre-training and evaluation of numeracy-oriented language model. ICAIF (2021)
Meng Shen, Huaizheng Zhang, Yixin Cao, Fan Yang, Yonggang Wen
Missing Data Imputation for Solar Yield Prediction using Temporal Multi-Modal Variational Auto-Encoder. ACM Multimedia (2021)
Xin Lv, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Yichi Zhang, Zelin Dai
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability. EMNLP (1) (2021)
Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua
How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction. ACL/IJCNLP (1) (2021)
Meihan Tong, Shuai Wang, Bin Xu, Yixin Cao, Minghui Liu, Lei Hou, Juanzi Li
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition. CoRR (2021)
Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. CoRR (2021)
Meihan Tong, Shuai Wang, Bin Xu, Yixin Cao, Minghui Liu, Lei Hou, Juanzi Li
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition. ACL/IJCNLP (1) (2021)
Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua
Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. CoRR (2020)
Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua
Reinforced Negative Sampling over Knowledge Graph for Recommendation. WWW (2020)
Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Tat-Seng Chua
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. EMNLP (1) (2020)
Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. CoRR (2020)
Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua
Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. SIGIR (2020)
Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. ACL (2020)
Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua
Reinforced Negative Sampling over Knowledge Graph for Recommendation. CoRR (2020)
Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou
Improving Neural Relation Extraction with Implicit Mutual Relations. ICDE (2020)
Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction. CoRR (2020)
Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. CoRR (2020)
Meihan Tong, Shuai Wang, Yixin Cao, Bin Xu, Juanzi Li, Lei Hou, Tat-Seng Chua
Image Enhanced Event Detection in News Articles. AAAI (2020)
Meihan Tong, Bin Xu, Shuai Wang, Yixin Cao, Lei Hou, Juanzi Li, Jun Xie
Improving Event Detection via Open-domain Trigger Knowledge. ACL (2020)
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua
Explainable Reasoning over Knowledge Graphs for Recommendation. AAAI (2019)
Xinru Zhang, Huifang Xu, Yixin Cao, Yuanpeng Tan, Lei Hou, Juanzi Li, Jiaxin Shi
DSEL: A Domain-Specific Entity Linking System. JIST (2019)
Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model. EMNLP/IJCNLP (1) (2019)
Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua
KGAT: Knowledge Graph Attention Network for Recommendation. CoRR (2019)
Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji
Low-Resource Name Tagging Learned with Weakly Labeled Data. EMNLP/IJCNLP (1) (2019)
Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua
KGAT: Knowledge Graph Attention Network for Recommendation. KDD (2019)
Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. CoRR (2019)
Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. SIGIR (2019)
Hsuehkuan Lu, Yixin Cao, Lei Hou, Juanzi Li
Knowledge-Enhanced Bilingual Textual Representations for Cross-Lingual Semantic Textual Similarity. ICPCSEE (1) (2019)
Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji
Low-Resource Name Tagging Learned with Weakly Labeled Data. CoRR (2019)
Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua
Multi-Channel Graph Neural Network for Entity Alignment. CoRR (2019)
Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua
Who, Where, and What to Wear?: Extracting Fashion Knowledge from Social Media. ACM Multimedia (2019)
Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua
Multi-Channel Graph Neural Network for Entity Alignment. ACL (1) (2019)
Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. WWW (2019)
Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media. CoRR (2019)
Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou
Improving Neural Relation Extraction with Implicit Mutual Relations. CoRR (2019)
Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. EMNLP (2018)
Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. CoRR (2018)
Jiangtao Zhang, Juanzi Li, Shuai Wang, Yan Zhang, Yixin Cao, Lei Hou, Xiao-Li Li
Category Multi-representation: A Unified Solution for Named Entity Recognition in Clinical Texts. PAKDD (2) (2018)
Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha
Sequential Recommendation with User Memory Networks. WSDM (2018)
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua
Explainable Reasoning over Knowledge Graphs for Recommendation. CoRR (2018)
Xu Chen, Yongfeng Zhang, Hongteng Xu, Yixin Cao, Zheng Qin, Hongyuan Zha
Visually Explainable Recommendation. CoRR (2018)
Jiangtao Zhang, Juanzi Li, Xiao-Li Li, Yixin Cao, Lei Hou, Shuai Wang
Is a Common Phrase an Entity Mention or Not? Dual Representations for Domain-Specific Named Entity Recognition. DASFAA (1) (2018)
Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu
Neural Collective Entity Linking. COLING (2018)
Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu
Neural Collective Entity Linking. CoRR (2018)
Yixin Cao, Lifu Huang, Heng Ji, Xu Chen, Juanzi Li
Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding. ACL (1) (2017)
Jing Zhang, Yixin Cao, Lei Hou, Juanzi Li, Hai-Tao Zheng
XLink: An Unsupervised Bilingual Entity Linking System. CCL (2017)
Yixin Cao, Jiaxin Shi, Juanzi Li, Zhiyuan Liu, Chengjiang Li
On Modeling Sense Relatedness in Multi-prototype Word Embedding. IJCNLP(1) (2017)
Yixin Cao, Juanzi Li, Xiaofei Guo, Shuanhu Bai, Heng Ji, Jie Tang
Name List Only? Target Entity Disambiguation in Short Texts. EMNLP (2015)
Mengdi Zhang, Tao Huang, Yixin Cao, Lei Hou
Target Detection and Knowledge Learning for Domain Restricted Question Answering. NLPCC (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yixin Cao