프로필

Pinjia He

Assistant Professor, The Chinese University of Hong Kong, Shenzhen

cuhk.edu.cn의 이메일 확인됨

5653회 인용

Software Engineering AI for SE AIOps LLM Safety Software Testing

Chao Yang

Research Scientist in Shanghai AI Laboratory

pjlab.org.cn의 이메일 확인됨

4580회 인용

LLM Safety Multi-modal Robotics Reinforcement Learning

Qiang Sheng

Chinese Academy of Sciences

ict.ac.cn의 이메일 확인됨

1093회 인용

fake news detection fact checking social media mining LLM safety

Tiansheng Huang

Georgia Institute of Technology

gatech.edu의 이메일 확인됨

723회 인용

Parallel and Distributed Computing Distributed machine learning LLM safety

Motasem Alfarra

Qualcomm AI Research

qti.qualcomm.com의 이메일 확인됨

416회 인용

LLM Safety Test Time Adaptation Continual Learning

Jingwei Yi

University of Science and Technology of China

mail.ustc.edu.cn의 이메일 확인됨

384회 인용

LLM Safety Federated Learning

Lei Wang

Huawei International, Singapore

huawei.com의 이메일 확인됨

372회 인용

LLM Safety Generative Speech Safety ASV anti-spoofing speech recognition trustworthy AI

Youliang Yuan 袁尤良😄

PhD student of Computer Science, The Chinese University of Hong Kong (Shenzhen)

link.cuhk.edu.cn의 이메일 확인됨

269회 인용

Artificial Intelligence LLM Safety

Yingzhe He

Institute of Information Engineering, Chinese Academy of Sciences

mail.ustc.edu.cn의 이메일 확인됨

199회 인용

AI safety and security machine learning security security for AI LLM safety

Qiusi Zhan

University of Illinois Urbana-Champaign

illinois.edu의 이메일 확인됨

191회 인용

LLM Safety Information Extraction Dialog System

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