Wang, Wenxuan

Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine

Jiao, W., Wang, W., Huang, J.-T., Wang, X., Shi, S., & Tu, Z. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 317

What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?

Gao, S., Wen, X.-C., Gao, C., Wang, W., Zhang, H., & Lyu, M. R. (2023) · 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Software Engineering ResearchTopic Modeling

Cited by 106

Rethinking the Value of Transformer Components

Wang, W., & Tu, Z. (2020) · Proceedings of the 28th International Conference on Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 39

Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench

Huang, J.-T., Lam, M. H., Li, E. J., Ren, S., Wang, W., Jiao, W., Tu, Z., & Lyu, M. R. (2023) · arXiv

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 14

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

On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Huang, J.-T., Zhou, J., Jin, T., Zhou, X., Chen, Z., Wang, W., Yuan, Y., Lyu, M. R., & Sap, M. (2024) · arXiv

Multi-Agent Systems and NegotiationNatural Language Processing Techniques

Cited by 1