To Err Is Human; To Annotate, SILICON? Toward Robust Reproducibility in LLM Annotation
犯错是人之常情;标注,硅?迈向LLM标注中的稳健可重复性
Xiang Cheng, Raveesh Mayya, João Sedoc
机构
*
Robert H. Smith School of Business, University of Maryland(马里兰大学罗伯特·H·史密斯商学院)
;
Leonard N. Stern School of Business, New York University(纽约大学伦纳德·N·斯坦商学院)
BadSKP: Backdoor Attacks on Knowledge Graph-Enhanced LLMs with Soft Prompts
BadSKP: 针对增强知识图谱的大型语言模型的后门攻击
Xiaoting Lyu, Yufei Han, Hangwei Qian, Haoyuan Yu, Xiang Ao, Bin Wang, Chenxu Wang, Xiaobo Ma, Wei Wang
机构
*
Ministry of Education Key Lab for Intelligent Networks and Network Security(教育部长智能网络与网络安全重点实验室)
;
Xi’an Jiaotong University(西安交通大学)
;
INRIA(法国国家信息与自动化技术研究院)
;
CFAR, A*STAR(新加坡A*STAR机构)
;
Beijing Key Laboratory of Security and Privacy in Intelligent Transportation(北京智能交通安全与隐私重点实验室)
;
Beijing Jiaotong University(北京交通大学)
;
Institute of Computing Technology, Chinese Academy of Sciences(中国科学院计算技术研究所)
;
School of Cyber Engineering, Xi’an University of Electronic Science and Technology(西安电子科技大学网络安全工程学院)
;
Ministry of Education Key Lab for Intelligent Networks and Network Security at Xi’an Jiaotong University(西安交通大学教育部长智能网络与网络安全重点实验室)
专题命中
其他LLM
:LLM(abstract_cn);large language model(abstract);language model(abstract);prompting(abstract)
机构
*
University of California, Los Angeles(加州大学洛杉矶分校)
;
University of California, San Diego(加州大学圣地亚哥分校)
;
University of Texas at Arlington(德克萨斯大学阿灵顿分校)
;
University of California, Santa Barbara(加州大学圣芭芭拉分校)
MoLF: Mixture-of-Latent-Flow for Pan-Cancer Spatial Gene Expression Prediction from Histology
MoLF:基于组织学的跨癌症空间基因表达预测的潜在流混合
Susu Hu, Stefanie Speidel
机构
*
Translational Surgical Oncology, National Center for Tumor Diseases (NCT/UCC) Dresden, Germany
;
Faculty of Medicine
;
University Hospital Carl Gustav Carus, Dresden University of Technology
;
German Cancer Research Center (DKFZ), Heidelberg, Germany