Summary of Protecting Privacy in Multimodal Large Language Models with Mllmu-bench, by Zheyuan Liu et al.
Protecting Privacy in Multimodal Large Language Models with MLLMU-Benchby Zheyuan Liu, Guangyao Dou, Mengzhao Jia,…
Protecting Privacy in Multimodal Large Language Models with MLLMU-Benchby Zheyuan Liu, Guangyao Dou, Mengzhao Jia,…
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attributionby Zhengmian Hu, Tong…
Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detectionby Md Abdur Rahman, Fan Wu,…
Movie Trailer Genre Classification Using Multimodal Pretrained Featuresby Serkan Sulun, Paula Viana, Matthew E. P.…
Intelligent Understanding of Large Language Models in Traditional Chinese Medicine Based on Prompt Engineering Frameworkby…
Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Promptsby Danyal Aftab, Steven DavyFirst…
Integrating Canonical Neural Units and Multi-Scale Training for Handwritten Text Recognitionby Zi-Rui WangFirst submitted to…
Benchmarking Foundation Models on Exceptional Cases: Dataset Creation and Validationby Suho Kang, Jungyang Park, Joonseo…
RE-tune: Incremental Fine Tuning of Biomedical Vision-Language Models for Multi-label Chest X-ray Classificationby Marco Mistretta,…
Are Large Language Models Ready for Travel Planning?by Ruiping Ren, Xing Yao, Shu Cole, Haining…