视觉大模型 / VLM

On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models

Hoigi Seo, Dong Un Kang, Hyunjin Cho, Joohoon Lee, Se Young Chun

专题命中 幻觉与鲁棒性 ：vision-language model(title,abstract)；分类 cs.CV、cs.AI

Robustness in Both Domains: CLIP Needs a Robust Text Encoder

Elias Abad Rocamora, Christian Schlarmann, Naman Deep Singh, Yongtao Wu, Matthias Hein, Volkan Cevher

专题命中 幻觉与鲁棒性 ：vision language model(abstract)；分类 cs.CV、cs.AI、cs.LG

Comments Accepted in NeurIPS 2025

DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models

Ziyi Wu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Ashkan Mirzaei, Igor Gilitschenski, Sergey Tulyakov, Aliaksandr Siarohin

机构 * Snap Research ； University of Toronto（多伦多大学） ； Vector Institute（向量研究所） 纠错

专题命中 幻觉与鲁棒性 ：vision language model(abstract)；分类 cs.CV

Comments NeurIPS 2025 Spotlight. Project page: https://snap-research.github.io/DenseDPO/