Yixin Cao
Orcid: 0000-0001-7157-6961Affiliations:
- 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 100 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Screening through a broad pool: Towards better diversity for lexically constrained text generation.
Inf. Process. Manag., March, 2024
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning.
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.
Data Min. Knowl. Discov., 2024
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning.
CoRR, 2024
MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations.
CoRR, 2024
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.
CoRR, 2024
Have Seen Me Before? Automating Dataset Updates Towards Reliable and Timely Evaluation.
CoRR, 2024
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Collective prompt tuning with relation inference for document-level relation extraction.
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.
CAAI Trans. Intell. Technol., June, 2023
IEEE Trans. Knowl. Data Eng., 2023
CoRR, 2023
CoRR, 2023
Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion.
CoRR, 2023
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate.
CoRR, 2023
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
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!
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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.
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.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
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.
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.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
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.
CoRR, 2022
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network.
CoRR, 2022
CoRR, 2022
CoRR, 2022
What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction.
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.
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.
CoRR, 2021
Missing Data Imputation for Solar Yield Prediction using Temporal Multi-Modal Variational Auto-Encoder.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
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.
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.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
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.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
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.
Proceedings of the World Wide Web Conference, 2019
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019
Knowledge-Enhanced Bilingual Textual Representations for Cross-Lingual Semantic Textual Similarity.
Proceedings of the Data Science, 2019
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
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.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision.
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.
Proceedings of the Database Systems for Advanced Applications, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
2017
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2015
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015