Summary of Improving Long-text Alignment For Text-to-image Diffusion Models, by Luping Liu et al.
Improving Long-Text Alignment for Text-to-Image Diffusion Modelsby Luping Liu, Chao Du, Tianyu Pang, Zehan Wang,…
Summary of Layer-wise Importance Matters: Less Memory For Better Performance in Parameter-efficient Fine-tuning Of Large Language Models, by Kai Yao et al.
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Modelsby…
Summary of Loko: Low-rank Kalman Optimizer For Online Fine-tuning Of Large Models, by Hossein Abdi et al.
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Modelsby Hossein Abdi, Mingfei Sun, Andi…
Summary of Have the Vlms Lost Confidence? a Study Of Sycophancy in Vlms, by Shuo Li et al.
Have the VLMs Lost Confidence? A Study of Sycophancy in VLMsby Shuo Li, Tao Ji,…
Summary of Tsds: Data Selection For Task-specific Model Finetuning, by Zifan Liu et al.
TSDS: Data Selection for Task-Specific Model Finetuningby Zifan Liu, Amin Karbasi, Theodoros RekatsinasFirst submitted to…
Summary of Automatically Generating Visual Hallucination Test Cases For Multimodal Large Language Models, by Zhongye Liu et al.
Automatically Generating Visual Hallucination Test Cases for Multimodal Large Language Modelsby Zhongye Liu, Hongbin Liu,…
Summary of Advancing the Understanding Of Fixed Point Iterations in Deep Neural Networks: a Detailed Analytical Study, by Yekun Ke et al.
Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Studyby…
Summary of Advbdgen: Adversarially Fortified Prompt-specific Fuzzy Backdoor Generator Against Llm Alignment, by Pankayaraj Pathmanathan et al.
AdvBDGen: Adversarially Fortified Prompt-Specific Fuzzy Backdoor Generator Against LLM Alignmentby Pankayaraj Pathmanathan, Udari Madhushani Sehwag,…
Summary of Subspace Optimization For Large Language Models with Convergence Guarantees, by Yutong He et al.
Subspace Optimization for Large Language Models with Convergence Guaranteesby Yutong He, Pengrui Li, Yipeng Hu,…
Summary of Position: On-premises Llm Deployment Demands a Middle Path: Preserving Privacy Without Sacrificing Model Confidentiality, by Hanbo Huang et al.
Position: On-Premises LLM Deployment Demands a Middle Path: Preserving Privacy Without Sacrificing Model Confidentialityby Hanbo…