Zhang, Zhuosheng

Is ChatGPT a General-Purpose Natural Language Processing Task Solver?

Qin, C., Zhang, A., Zhang, Z., Chen, J., Yasunaga, M., & Yang, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 869

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Tang, X., Zou, A., Zhang, Z., Li, Z., Zhao, Y., Zhang, X., Cohan, A., & Gerstein, M. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 376

Semantics-Aware BERT for Language Understanding

Zhang, Z., Wu, Y., Zhao, H., Li, Z., Zhang, S., Zhou, X., & Zhou, X. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 364

Automatic Chain of Thought Prompting in Large Language Models

Zhang, Z., Zhang, A., Li, M., & Smola, A. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 274

SAFELearning: Secure Aggregation in Federated Learning With Backdoor Detectability

Zhang, Z., Li, J., Yu, S., & Makaya, C. (2023) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 54

Igniting language intelligence: The hitchhiker’s guide from chain-of-thought reasoning to language agents

Zhang, Z., Yao, Y., Zhang, A., Tang, X., Ma, X., He, Z., Wang, Y., Gerstein, M., Wang, R., Liu, G., et al. (2025) · ACM Computing Surveys

Topic ModelingNatural Language Processing Techniques

Cited by 51

R-Judge: Benchmarking Safety Risk Awareness for LLM Agents

Yuan, T., He, Z., Dong, L., Wang, Y., Zhao, R., Xia, T., Xu, L., Zhou, B., Li, F., Zhang, Z., et al. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Ethics and Social Impacts of AITopic Modeling

Cited by 45

Structured Chemistry Reasoning with Large Language Models

Ouyang, S., Zhang, Z., Yan, B., Liu, X., Choi, Y., Han, J., & Qin, L. (2023) · arXiv

Machine Learning in Materials ScienceMultimodal Machine Learning Applications

Cited by 9

Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Chen, X., Xu, J., Liang, T., He, Z., Pang, J., Yu, D., Song, L., Liu, Q., Zhou, M., Zhang, Z., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models

He, Z., Zhou, B., Hao, H., Liu, A., Wang, X., Tu, Z., Zhang, Z., & Wang, R. (2024) · arXiv

Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning

Cited by 3

R-Judge: Benchmarking Safety Risk Awareness for LLM Agents

Yuan, T., He, Z., Dong, L., Wang, Y., Zhao, R., Xia, T., Xu, L., Zhou, B., Li, F., Zhang, Z., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 2

Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning

Wu, Z., Lou, X., Ma, X., Li, Y., Liu, W., Zhang, W., Wang, J., & Zhang, Z. (2026) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 0

Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding

Wang, Y., Zhang, P., Huang, S., Yang, B., Zhang, Z., Huang, F., & Wang, R. (2025) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0