Lin, Yankai

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

A survey on large language model based autonomous agents

Wang, L., Ma, C., Feng, X., Zhang, Z., Yang, H., Zhang, J., Chen, Z., Tang, J., Chen, X., Lin, Y., et al. (2024) · Frontiers of Computer Science

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 1,941

A Survey on Large Language Model based Autonomous Agents

Wang, L., Ma, C., Feng, X., Zhang, Z., Yang, H., Zhang, J., Chen, Z., Tang, J., Chen, X., Lin, Y., et al. (2023) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 1,925

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

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

Packed Levitated Marker for Entity and Relation Extraction

Ye, D., Lin, Y., Li, P., & Sun, M. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 144

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

User Behavior Simulation with Large Language Model-based Agents

Wang, L., Zhang, J., Yang, H., Chen, Z.-Y., Tang, J., Zhang, Z., Chen, X., Lin, Y., Sun, H., Song, R., et al. (2025) · ACM Transactions on Information Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 59

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

MoEfication: Transformer Feed-forward Layers are Mixtures of Experts

Zhang, Z., Lin, Y., Liu, Z., Li, P., Sun, M., & Zhou, J. (2022) · Findings of the Association for Computational Linguistics: ACL 2022

Advanced Neural Network ApplicationsTopic Modeling

Cited by 48

Large Language Diffusion Models

Nie, S., Zhu, F., You, Z., Zhang, X., Ou, J., Hu, J., Zhou, J., Lin, Y., Wen, J.-R., & Li, C. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 28

Don't Make Your LLM an Evaluation Benchmark Cheater

Zhou, K., Zhu, Y., Chen, Z., Chen, W., Zhao, W. X., Chen, X., Lin, Y., Wen, J.-R., & Han, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 25

InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory

Xiao, C., Zhang, P., Han, X., Xiao, G., Lin, Y., Zhang, Z., Liu, Z., & Sun, M. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 14

User Behavior Simulation with Large Language Model based Agents

Wang, L., Zhang, J., Yang, H., Chen, Z., Tang, J., Zhang, Z., Chen, X., Lin, Y., Song, R., Zhao, W. X., et al. (2023) · arXiv

Recommender Systems and TechniquesMulti-Agent Systems and Negotiation

Cited by 6

DebugBench: Evaluating Debugging Capability of Large Language Models

Tian, R., Ye, Y., Qin, Y., Cong, X., Lin, Y., Pan, Y., Wu, Y., Hui, H., Liu, W., Liu, Z., et al. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 2