Du, Zhengxiao

GPT Understands, Too

Liu, X., Zheng, Y., Du, Z., Ding, M., Qian, Y., Yang, Z., & Tang, J. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 908

P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks

Liu, X., Ji, K., Fu, Y., Tam, W., Du, Z., Yang, Z., & Tang, J. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 810

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Bai, Y., Lv, X., Zhang, J., Lyu, H., Tang, J., Huang, Z., Du, Z., Liu, X., Zeng, A., Hou, L., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 400

GLM-130B: An Open Bilingual Pre-trained Model

Zeng, A., Liu, X., Du, Z., Wang, Z., Lai, H., Ding, M., Yang, Z., Xu, Y., Zheng, W., Xia, X., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 281

AgentBench: Evaluating LLMs as Agents

Liu, X., Yu, H., Zhang, H., Xu, Y., Lei, X., Lai, H., Gu, Y., Ding, H., Men, K., Yang, K., et al. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 79

Understanding Emergent Abilities of Language Models from the Loss Perspective

Du, Z., Zeng, A., Dong, Y., & Tang, J. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 76

WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models

Yuan, S., Zhao, H., Du, Z., Ding, M., Liu, X., Cen, Y., Zou, X., Yang, Z., & Tang, J. (2021) · AI Open

Topic ModelingNatural Language Processing Techniques

Cited by 67

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Bai, Y., Lv, X., Zhang, J., Lyu, H., Tang, J., Huang, Z., Du, Z., Liu, X., Zeng, A., Hou, L., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

5 Team, Zeng, A., Lv, X., Zheng, Q., Hou, Z., Chen, B., Xie, C., Wang, C., Yin, D., Zeng, H., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

GLM-5: from Vibe Coding to Agentic Engineering

GLM-5-Team, :, Zeng, A., Lv, X., Hou, Z., Du, Z., Zheng, Q., Chen, B., Yin, D., Ge, C., et al. (2026) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 6

Understanding Emergent Abilities of Language Models from the Loss Perspective

Du, Z., Zeng, A., Dong, Y., & Tang, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5