Summary of Rethinking and Defending Protective Perturbation in Personalized Diffusion Models, by Yixin Liu et al.
Rethinking and Defending Protective Perturbation in Personalized Diffusion Modelsby Yixin Liu, Ruoxi Chen, Xun Chen,…
Rethinking and Defending Protective Perturbation in Personalized Diffusion Modelsby Yixin Liu, Ruoxi Chen, Xun Chen,…
Pre-Trained Vision-Language Models as Partial Annotatorsby Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao…
Benchmarking Mental State Representations in Language Modelsby Matteo Bortoletto, Constantin Ruhdorfer, Lei Shi, Andreas BullingFirst…
CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreferenceby Erxin Yu, Jing Li, Ming…
Aligning Diffusion Models with Noise-Conditioned Perceptionby Alexander Gambashidze, Anton Kulikov, Yuriy Sosnin, Ilya MakarovFirst submitted…
Prompt-based vs. Fine-tuned LLMs Toward Causal Graph Verificationby Yuni Susanti, Nina HolsmoelleFirst submitted to arxiv on:…
Towards Comprehensive Preference Data Collection for Reward Modelingby Yulan Hu, Qingyang Li, Sheng Ouyang, Ge…
Character-Adapter: Prompt-Guided Region Control for High-Fidelity Character Customizationby Yuhang Ma, Wenting Xu, Jiji Tang, Qinfeng…
Vision-Language Consistency Guided Multi-modal Prompt Learning for Blind AI Generated Image Quality Assessmentby Jun Fu,…
CAVE: Controllable Authorship Verification Explanationsby Sahana Ramnath, Kartik Pandey, Elizabeth Boschee, Xiang RenFirst submitted to…