Shi, Shuming

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Liang, T., He, Z., Jiao, W., Wang, X., Wang, Y., Wang, R., Yang, Y., Shi, S., & Tu, Z. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 1,062

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Liang, T., He, Z., Jiao, W., Wang, X., Wang, Y., Wang, R., Yang, Y., Shi, S., & Tu, Z. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 320

Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

Chen, Y., Wang, R., Jiang, H., Shi, S., & Xu, R. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 140

MAGE: Machine-generated Text Detection in the Wild

Li, Y., Li, Q., Cui, L., Bi, W., Wang, Z., Wang, L., Yang, L., Shi, S., & Zhang, Y. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 79

Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration

Lyu, C., Wu, M., Wang, L., Huang, X., Liu, B., Du, Z., Shi, S., & Tu, Z. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 38

GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher

Yuan, Y., Jiao, W., Wang, W., Huang, J.-T., He, P., Shi, S., & Tu, Z. (2023) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 14

MAGE: Machine-generated Text Detection in the Wild

Li, Y., Li, Q., Cui, L., Bi, W., Wang, Z., Wang, L., Yang, L., Shi, S., & Zhang, Y. (2023) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 10

Knowledge Fusion of Large Language Models

Wan, F., Huang, X., Cai, D., Quan, X., Bi, W., & Shi, S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10