视觉大模型 / VLM

VLF-MSC: Vision-Language Feature-Based Multimodal Semantic Communication System

Gwangyeon Ahn, Jiwan Seo, Joonhyuk Kang

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

Comments To appear in the AI4NextG Workshop at NeurIPS 2025

Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention

Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang

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

Comments accepted for publication in the Association for the Advancement of Artificial Intelligence (AAAI), 2026

EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-commerce Models

Xinyi Ling, Hanwen Du, Zhihui Zhu, Xia Ning

机构 * Department of Computer Science and Engineering, The Ohio State University（俄亥俄州立大学计算机科学与工程系） ； Translational Data Analytics Institute, The Ohio State University（俄亥俄州立大学转化数据分析研究所） ； Department of Biomedical Informatics, The Ohio State University（俄亥俄州立大学生物医学信息学系） 纠错

专题命中 幻觉与鲁棒性 ：multimodal large language model(abstract)；分类 cs.AI

Comments ICJNLP-AACL 2025

Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation

Daniel Schwartz, Dmitriy Bespalov, Zhe Wang, Ninad Kulkarni, Yanjun Qi

机构 * Amazon Bedrock Science（亚马逊Bedrock科学） ； Drexel University（德雷塞尔大学） ； University of Virginia（弗吉尼亚大学） 纠错

专题命中 幻觉与鲁棒性 ：VLM(abstract)；分类 cs.AI

Comments 14 pages, 5 figures; published in EMNLP 2025 ; Code at: https://github.com/dsbuddy/GAP-LLM-Safety

Format Matters: The Robustness of Multimodal LLMs in Reviewing Evidence from Tables and Charts

Xanh Ho, Yun-Ang Wu, Sunisth Kumar, Florian Boudin, Atsuhiro Takasu, Akiko Aizawa

专题命中 幻觉与鲁棒性 ：multimodal large language model(abstract)

Comments Accepted at AAAI 2026