Huang, Xuanjing

Pre-trained models for natural language processing: A survey

Qiu, X., Sun, T., Xu, Y., Shao, Y., Dai, N., & Huang, X. (2020) · Science China Technological Sciences

Topic ModelingNatural Language Processing Techniques

Cited by 1,591

How to Fine-Tune BERT for Text Classification?

Sun, C., Qiu, X., Xu, Y., & Huang, X. (2019) · Lecture Notes in Computer Science

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1,534

The Rise and Potential of Large Language Model Based Agents: A Survey

Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., Zhou, E., et al. (2023) · arXiv

Artificial Intelligence ApplicationsTopic Modeling

Cited by 972

The rise and potential of large language model based agents: a survey

Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., Zhou, E., et al. (2025) · Science China Information Sciences

Artificial Intelligence ApplicationsTopic Modeling

Cited by 970

Memory in the Age of AI Agents

Hu, Y., Liu, S., Yue, Y., Zhang, G., Liu, B., Zhu, F., Lin, J., Guo, H., Dou, S., Xi, Z., et al. (2025) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 389

CoLAKE: Contextualized Language and Knowledge Embedding

Sun, T., Shao, Y., Qiu, X., Guo, Q., Hu, Y., Huang, X., & Zhang, Z. (2020) · Proceedings of the 28th International Conference on Computational Linguistics

Topic ModelingAdvanced Graph Neural Networks

Cited by 185

Knowledge Graph Representation with Jointly Structural and Textual Encoding

Xu, J., Qiu, X., Chen, K., & Huang, X. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Advanced Graph Neural NetworksTopic Modeling

Cited by 121

SpanNER: Named Entity Re-/Recognition as Span Prediction

Fu, J., Huang, X., & Liu, P. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 112

Black-Box Tuning for Language-Model-as-a-Service

Sun, T., Shao, Y., Qian, H., Huang, X., & Qiu, X. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 100

Orthogonal Subspace Learning for Language Model Continual Learning

Wang, X., Chen, T., Ge, Q., Xia, H., Bao, R., Zheng, R., Zhang, Q., Gui, T., & Huang, X. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 79

Do Large Language Models Know What They Don’t Know?

Yin, Z., Sun, Q., Guo, Q., Wu, J., Qiu, X., & Huang, X. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingNatural Language Processing Techniques

Cited by 75

Do Large Language Models Know What They Don't Know?

Yin, Z., Sun, Q., Guo, Q., Wu, J., Qiu, X., & Huang, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 75

MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models

Liu, M., Hu, W., Ding, J., Xu, J., Li, X., Zhu, L., Bai, Z., Shi, X., Wang, B., Song, H., et al. (2024) · Big Data Mining and Analytics

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 41

Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation

Mou, X., Wei, Z., & Huang, X. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Opinion Dynamics and Social InfluenceSocial Media and Politics

Cited by 34

Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication

Yin, Z., Sun, Q., Chang, C., Guo, Q., Dai, J., Huang, X., & Qiu, X. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 26

Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication

Yin, Z., Sun, Q., Chang, C., Guo, Q., Dai, J., Huang, X., & Qiu, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 21

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems

Zhao, J., Tong, J., Mou, Y., Zhang, M., Zhang, Q., & Huang, X. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 11

LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Zhao, J., Zu, C., Xu, H., Lu, Y., He, W., Ding, Y., Gui, T., Zhang, Q., & Huang, X. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Explicit Memory Learning with Expectation Maximization

Yin, Z., Sun, Q., Guo, Q., Zeng, Z., Cheng, Q., Qiu, X., & Huang, X. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 1

Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction

AGI Team, Cai, Y., Chen, L., Chen, Q., Ding, Y., Fan, L., Fu, W., Gao, Y., Guo, H., Guo, P., et al. (2025) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

Case2Code: Scalable Synthetic Data for Code Generation

Shao, Y., Li, L., Ma, Y., Li, P., Song, D., Cheng, Q., Li, S., Li, X., Wang, P., Guo, Q., et al. (2024) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 0