视觉大模型 / VLM

Anatomy-VLM: A Fine-grained Vision-Language Model for Medical Interpretation

Difei Gu, Yunhe Gao, Mu Zhou, Dimitris Metaxas

机构 * Rutgers University（新泽西罗格斯大学） ； Stanford University（斯坦福大学） 纠错

专题命中 VLM训练与架构 ：vision-language model(title,abstract)；VLM(title,abstract)；分类 cs.CV、cs.AI、cs.LG

Comments Accepted to Winter Conference on Applications of Computer Vision (WACV) 2026

Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Governance

Zixuan Wang, Yu Sun, Hongwei Wang, Baoyu Jing, Xiang Shen, Xin Dong, Zhuolin Hao, Hongyu Xiong, Yang Song

机构 * TikTok Inc.（字节跳动公司） 纠错

专题命中 VLM训练与架构 ：multimodal large language model(title,abstract)；visual question answering(abstract)；MLLM(abstract)；分类 cs.CV

Comments Camera Ready for EMNLP 2025

Beyond the Pixels: VLM-based Evaluation of Identity Preservation in Reference-Guided Synthesis

Aditi Singhania, Krutik Malani, Riddhi Dhawan, Arushi Jain, Garv Tandon, Nippun Sharma, Souymodip Chakraborty, Vineet Batra, Ankit Phogat

专题命中 VLM训练与架构 ：VLM(title,abstract)；分类 cs.CV、cs.AI

Revisiting MLLM Based Image Quality Assessment: Errors and Remedy

Zhenchen Tang, Songlin Yang, Bo Peng, Zichuan Wang, Jing Dong

专题命中 VLM训练与架构 ：MLLM(title,abstract)；分类 cs.CV

Comments 13 pages

A Causal-Guided Multimodal Large Language Model for Generalized Power System Time-Series Data Analytics

Zhenghao Zhou, Yiyan Li, Xinjie Yu, Runlong Liu, Zelin Guo, Zheng Yan, Mo-Yuen Chow, Yuqi Yang, Yang Xu

专题命中 VLM训练与架构 ：multimodal large language model(title,abstract)

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning

Xinhao Li, Ziang Yan, Desen Meng, Lu Dong, Xiangyu Zeng, Yinan He, Yali Wang, Yu Qiao, Yi Wang, Limin Wang

机构 * Shanghai AI Laboratory（上海人工智能实验室） ； Nanjing University（南京大学） ； Zhejiang University（浙江大学） ； University of Science and Technology of China（中国科学技术大学） ； Shanghai Innovation Institute（上海创新研究院） ； Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences（中国科学院深圳先进技术研究所） 纠错

专题命中 VLM训练与架构 ：grounding(abstract)；multimodal large language model(abstract)；MLLM(abstract)；分类 cs.CV

Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification

Yihang Wu, Ahmad Chaddad

专题命中 VLM训练与架构 ：vision language model(abstract)；VLM(abstract)；分类 cs.CV

Comments Accepted in AAAI 2026 Main track. Code is available at https://github.com/AIPMLab/FedMedCLIP

ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism

Zedong Liu, Shenggan Cheng, Guangming Tan, Yang You, Dingwen Tao

机构 * Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所） ； University of Electronic Science and Technology of China（电子科技大学） ； National University of Singapore（新加坡国立大学） 纠错

专题命中 VLM训练与架构 ：multimodal large language model(abstract)；MLLM(abstract)；分类 cs.LG

Comments Accepted at NeurIPS 2025 Oral (Thirty-Ninth Conference on Neural Information Processing Systems)

Why does weak-OOD help? A Further Step Towards Understanding Jailbreaking VLMs

Yuxuan Zhou, Yuzhao Peng, Yang Bai, Kuofeng Gao, Yihao Zhang, Yechao Zhang, Xun Chen, Tao Yu, Tao Dai, Shu-Tao Xia

专题命中 VLM训练与架构 ：vision-language model(abstract)；VLM(abstract)

Prudential Reliability of Large Language Models in Reinsurance: Governance, Assurance, and Capital Efficiency

Stella C. Dong

机构 * Reinsurance Analytics（再保险分析） 纠错

专题命中 VLM训练与架构 ：grounding(abstract)；分类 cs.AI、cs.LG

Comments 48 pages, 9 figures, 5 tables. Submitted to the Journal of Risk and Insurance (JRI), November 2025

Taming Identity Consistency and Prompt Diversity in Diffusion Models via Latent Concatenation and Masked Conditional Flow Matching

Aditi Singhania, Arushi Jain, Krutik Malani, Riddhi Dhawan, Souymodip Chakraborty, Vineet Batra, Ankit Phogat

专题命中 VLM训练与架构 ：VLM(abstract)；分类 cs.CV、cs.AI

A Simple Ray Acceleration Structure for Non-LTE Radiative Transfer

Christopher M. J. Osborne

专题命中 VLM训练与架构 ：VLM(abstract)

Comments 12 pages, 7 figures. Accepted for publication in RASTI