多模态大模型

ByDeWay: Boost Your multimodal LLM with DEpth prompting in a Training-Free Way

Rajarshi Roy, Devleena Das, Ankesh Banerjee, Arjya Bhattacharjee, Kousik Dasgupta, Subarna Tripathi

机构 * Kalyani Government Engineering College（卡利尼政府工程学院） ； Intel Labs（英特尔实验室） 纠错

专题命中 图文多模态 ：multimodal(title,abstract)；分类 cs.CV

ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement

Ali Salamatian, Amirhossein Abaskohi, Wan-Cyuan Fan, Mir Rayat Imtiaz Hossain, Leonid Sigal, Giuseppe Carenini

专题命中 图文多模态 ：image-text(abstract)；分类 cs.CV、cs.CL

Comments EMNLP 2025

VARCO-VISION-2.0 Technical Report

Young-rok Cha, Jeongho Ju, SunYoung Park, Jong-Hyeon Lee, Younghyun Yu, Youngjune Kim

机构 * NC AI 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV、cs.CL

Comments 19 pages, 1 figure, 14 tables. Technical report for VARCO-VISION-2.0, a Korean-English bilingual VLM in 14B and 1.7B variants. Key features: multi-image understanding, OCR with text localization, improved Korean capabilities

Dynamic Relation Inference via Verb Embeddings

Omri Suissa, Muhiim Ali, Ariana Azarbal, Hui Shen, Shekhar Pradhan

专题命中 图文多模态 ：image-text(abstract)；分类 cs.CV、cs.CL

Adversarial Prompt Distillation for Vision-Language Models

Lin Luo, Xin Wang, Bojia Zi, Shihao Zhao, Xingjun Ma, Yu-Gang Jiang

机构 * Shanghai Key Lab of Intell. Info. Processing, School of CS, Fudan University（上海智能信息处理实验室，计算机科学学院，复旦大学） ； The Chinese University of Hong Kong, Shatin, Hong Kong（香港中文大学，沙田，香港） ； The University of Hong Kong, Pokfulam, Hong Kong（香港大学，薄扶林，香港） 纠错

专题命中 图文多模态 ：multi-modal(abstract)；分类 cs.CV、cs.AI

Comments This work has been submitted to the IEEE for possible publication

Evaluating Robustness of Vision-Language Models Under Noisy Conditions

Purushoth, Alireza

机构 * University of Nevada Reno（内华达大学拉斯维加斯分校） 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV