Gui, Tao

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

A Unified Generative Framework for Various NER Subtasks

Yan, H., Gui, T., Dai, J., Guo, Q., Zhang, Z., & Qiu, X. (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 299

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

Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs

Ji, T., Guo, B., Wu, Y., Guo, Q., Shenlixing, S., Chenzhan, C., Qiu, X., Zhang, Q., & Gui, T. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 6

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

Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment

Zhang, J., Jing, W., Zhang, Z., Xi, Z., Dou, S., Weng, R., Li, J., Wang, J., Chai, M., Hong, S., et al. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 0