Yixin Cao

Orcid: 0000-0001-7157-6961

Affiliations:

Singapore Management University, Singapore
National University of Singapore, School of Computing, Singapore (former)
Tsinghua University, Beijing, Department of Computer Science and Technology (PhD)

According to our database¹, Yixin Cao authored at least 88 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Screening through a broad pool: Towards better diversity for lexically constrained text generation.

[BibT_eX]

[DOI]

Inf. Process. Manag., March, 2024

Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., January, 2024

VEM<sup>2</sup>L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2024

Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

Event-level Knowledge Editing.

[BibT_eX]

[DOI]

CoRR, 2024

Have Seen Me Before? Automating Dataset Updates Towards Reliable and Timely Evaluation.

[BibT_eX]

[DOI]

CoRR, 2024

SciAgent: Tool-augmented Language Models for Scientific Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Collective prompt tuning with relation inference for document-level relation extraction.

[BibT_eX]

[DOI]

Changsen Yuan

Yixin Cao

Heyan Huang

Inf. Process. Manag., September, 2023

Multi-head attention graph convolutional network model: End-to-end entity and relation joint extraction based on multi-head attention graph convolutional network.

[BibT_eX]

[DOI]

CAAI Trans. Intell. Technol., June, 2023

Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Structured, Complex and Time-complete Temporal Event Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

To be or not to be? an exploration of continuously controllable prompt engineering.

[BibT_eX]

[DOI]

CoRR, 2023

X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects.

[BibT_eX]

[DOI]

CoRR, 2023

Finding and Editing Multi-Modal Neurons in Pre-Trained Transformer.

[BibT_eX]

[DOI]

CoRR, 2023

Learning To Teach Large Language Models Logical Reasoning.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution.

[BibT_eX]

[DOI]

CoRR, 2023

Intuitive or Dependent? Investigating LLMs' Robustness to Conflicting Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion.

[BibT_eX]

[DOI]

CoRR, 2023

Benchmarking Foundation Models with Language-Model-as-an-Examiner.

[BibT_eX]

[DOI]

CoRR, 2023

Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

[BibT_eX]

[DOI]

CoRR, 2023

Benchmarking Foundation Models with Language-Model-as-an-Examiner.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Context-aware Event Forecasting via Graph Disentanglement.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FollowupQG: Towards information-seeking follow-up question generation.

[BibT_eX]

[DOI]

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CoVariance-based Causal Debiasing for Entity and Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Robust Prompt Optimization for Large Language Models Against Distribution Shifts.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Few-shot Event Detection: An Empirical Study and a Unified View.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Knowledge Graph Embedding by Normalizing Flows.

[BibT_eX]

[DOI]

Changyi Xiao

Xiangnan He

Yixin Cao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

R<sup>2</sup>F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference.

[BibT_eX]

[DOI]

CoRR, 2022

Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network.

[BibT_eX]

[DOI]

CoRR, 2022

Inferring Commonsense Explanations as Prompts for Future Event Generation.

[BibT_eX]

[DOI]

CoRR, 2022

ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment.

[BibT_eX]

[DOI]

CoRR, 2022

Training Free Graph Neural Networks for Graph Matching.

[BibT_eX]

[DOI]

CoRR, 2022

What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Interactive Contrastive Learning for Self-Supervised Entity Alignment.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction.

[BibT_eX]

[DOI]

CoRR, 2021

Missing Data Imputation for Solar Yield Prediction using Temporal Multi-Modal Variational Auto-Encoder.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Pre-training and evaluation of numeracy-oriented language model.

[BibT_eX]

[DOI]

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment.

[BibT_eX]

[DOI]

CoRR, 2020

Reinforced Negative Sampling over Knowledge Graph for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Improving Neural Relation Extraction with Implicit Mutual Relations.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Improving Event Detection via Open-domain Trigger Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Image Enhanced Event Detection in News Articles.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Who, Where, and What to Wear?: Extracting Fashion Knowledge from Social Media.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

KGAT: Knowledge Graph Attention Network for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

DSEL: A Domain-Specific Entity Linking System.

[BibT_eX]

[DOI]

Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

Knowledge-Enhanced Bilingual Textual Representations for Cross-Lingual Semantic Textual Similarity.

[BibT_eX]

[DOI]

Proceedings of the Data Science, 2019

Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Low-Resource Name Tagging Learned with Weakly Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multi-Channel Graph Neural Network for Entity Alignment.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Explainable Reasoning over Knowledge Graphs for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Visually Explainable Recommendation.

[BibT_eX]

[DOI]

CoRR, 2018

Sequential Recommendation with User Memory Networks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Category Multi-representation: A Unified Solution for Named Entity Recognition in Clinical Texts.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Is a Common Phrase an Entity Mention or Not? Dual Representations for Domain-Specific Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2018

Neural Collective Entity Linking.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

On Modeling Sense Relatedness in Multi-prototype Word Embedding.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

XLink: An Unsupervised Bilingual Entity Linking System.

[BibT_eX]

[DOI]

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017

Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2015

Target Detection and Knowledge Learning for Domain Restricted Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

Name List Only? Target Entity Disambiguation in Short Texts.

[BibT_eX]

[DOI]

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Yixin Cao

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