50 citations · 61 across the 7 of their papers we have counts for
7 papers
Exploring Multi-Lingual Bias of Large Code Models in Code Generation
Chaozheng Wang, Zongjie Li, Cuiyun Gao +6
Code generation aims to synthesize code and fulfill functional requirements based on natural language (NL) specifications, which can greatly improve development efficiency. In the…
How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO
Man Tik Ng, Hui Tung Tse, Jen-tse Huang +3
The role-play ability of Large Language Models (LLMs) has emerged as a popular research direction. However, existing studies focus on imitating well-known public figures or fiction…
BiasAsker: Measuring the Bias in Conversational AI System
Yuxuan Wan, Wenxuan Wang, Pinjia He +3
Powered by advanced Artificial Intelligence (AI) techniques, conversational AI systems, such as ChatGPT and digital assistants like Siri, have been widely deployed in daily life. H…
Improving the Transferability of Adversarial Samples by Path-Augmented Method
Jianping Zhang, Jen-tse Huang, Wenxuan Wang +5
Deep neural networks have achieved unprecedented success on diverse vision tasks. However, they are vulnerable to adversarial noise that is imperceptible to humans. This phenomenon…
ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark
Haoran Wu, Wenxuan Wang, Yuxuan Wan +2
ChatGPT is a cutting-edge artificial intelligence language model developed by OpenAI, which has attracted a lot of attention due to its surprisingly strong ability in answering fol…
MTTM: Metamorphic Testing for Textual Content Moderation Software
Wenxuan Wang, Jen-tse Huang, Weibin Wu +5
The exponential growth of social media platforms such as Twitter and Facebook has revolutionized textual communication and textual content publication in human society. However, th…