Liu, Zhiyuan

Graph neural networks: A review of methods and applications

Zhou, J., Cui, G., Hu, S., Zhang, Z., Yang, C., Liu, Z., Wang, L., Li, C., & Sun, M. (2020) · AI Open

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 6,880

Graph Neural Networks: A Review of Methods and Applications

Zhou, J., Cui, G., Hu, S., Zhang, Z., Yang, C., Liu, Z., Wang, L., Li, C., & Sun, M. (2018) · arXiv

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 6,880

Learning Entity and Relation Embeddings for Knowledge Graph Completion

Lin, Y., Liu, Z., Sun, M., Liu, Y., & Zhu, X. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Graph Neural NetworksTopic Modeling

Cited by 3,749

ERNIE: Enhanced Language Representation with Informative Entities

Zhang, Z., Han, X., Liu, Z., Jiang, X., Sun, M., & Liu, Q. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingAdvanced Graph Neural Networks

Cited by 1,482

Parameter-efficient fine-tuning of large-scale pre-trained language models

Ding, N., Qin, Y., Yang, G., Wei, F., Yang, Z., Su, Y., Hu, S., Chen, Y., Chan, C.-M., Chen, W., et al. (2023) · Nature Machine Intelligence

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1,191

Pre-trained models: Past, present and future

Han, X., Zhang, Z., Ding, N., Gu, Y., Liu, X., Huo, Y., Qiu, J., Yao, Y., Zhang, A., Zhang, L., et al. (2021) · AI Open

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 994

Representation Learning of Knowledge Graphs with Entity Descriptions

Xie, R., Liu, Z., Jia, J., Luan, H., & Sun, M. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Graph Neural NetworksTopic Modeling

Cited by 725

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Chan, C.-M., Chen, W., Su, Y., Yu, J., Xue, W., Zhang, S., Fu, J., & Liu, Z. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 725

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

Wang, X., Gao, T., Zhu, Z., Zhang, Z., Liu, Z., Li, J., & Tang, J. (2021) · Transactions of the Association for Computational Linguistics

Advanced Graph Neural NetworksTopic Modeling

Cited by 676

Modeling Relation Paths for Representation Learning of Knowledge Bases

Lin, Y., Liu, Z., Luan, H., Sun, M., Rao, S., & Liu, S. (2015) · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

Advanced Graph Neural NetworksTopic Modeling

Cited by 657

DocRED: A Large-Scale Document-Level Relation Extraction Dataset

Yao, Y., Ye, D., Li, P., Han, X., Lin, Y., Liu, Z., Liu, Z., Huang, L., Zhou, J., & Sun, M. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 550

ChatDev: Communicative Agents for Software Development

Qian, C., Liu, W., Liu, H., Chen, N., Dang, Y., Li, J., Yang, C., Chen, W., Su, Y., Cong, X., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 490

PTR: Prompt Tuning with Rules for Text Classification

Han, X., Zhao, W., Ding, N., Liu, Z., & Sun, M. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 478

Understanding the Behaviors of BERT in Ranking

Qiao, Y., Xiong, C., Liu, Z., & Liu, Z. (2019) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 201

Tool Learning with Foundation Models

Qin, Y., Hu, S., Lin, Y., Chen, W., Ding, N., Cui, G., Zeng, Z., Huang, Y., Xiao, C., Han, C., et al. (2023) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 184

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Ding, N., Chen, Y., Xu, B., Qin, Y., Hu, S., Liu, Z., Sun, M., & Zhou, B. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Speech and dialogue systemsTopic Modeling

Cited by 130

RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback

Yu, T., Yao, Y., Zhang, H., He, T., Han, Y., Cui, G., Hu, J., Liu, Z., Zheng, H.-T., Sun, M., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 117

Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction

Zhong, H., Wang, Y., Tu, C., Zhang, T., Liu, Z., & Sun, M. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Artificial Intelligence in LawExplainable Artificial Intelligence (XAI)

Cited by 113

NumNet: Machine Reading Comprehension with Numerical Reasoning

Ran, Q., Lin, Y., Li, P., Zhou, J., & Liu, Z. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingMultimodal Machine Learning Applications

Cited by 108

Continual Relation Learning via Episodic Memory Activation and Reconsolidation

Han, X., Dai, Y., Gao, T., Lin, Y., Liu, Z., Li, P., Sun, M., & Zhou, J. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 104

ChatDev: Communicative Agents for Software Development

Qian, C., Liu, W., Liu, H., Chen, N., Dang, Y., Li, J., Yang, C., Chen, W., Su, Y., Cong, X., et al. (2023) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 81

OpenPrompt: An Open-source Framework for Prompt-learning

Ding, N., Hu, S., Zhao, W., Chen, Y., Liu, Z., Zheng, H.-T., & Sun, M. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 60

DebugBench: Evaluating Debugging Capability of Large Language Models

Tian, R., Ye, Y., Qin, Y., Cong, X., Lin, Y., Pan, Y., Wu, Y., Haotian, H., Weichuan, L., Liu, Z., et al. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Software Testing and Debugging TechniquesNatural Language Processing Techniques

Cited by 54

Yi: Open Foundation Models by 01.AI

AI, 0., :, Young, A., Chen, B., Li, C., Huang, C., Zhang, G., Zhang, G., Wang, G., Li, H., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 50