多模态大模型

Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants

Lixiong Qin, Shilong Ou, Miaoxuan Zhang, Jiangning Wei, Yuhang Zhang, Xiaoshuai Song, Yuchen Liu, Mei Wang, Weiran Xu

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） ； Beijing Normal University（北京师范大学） 纠错

专题命中 多模态评测 ：multi-modal(title,abstract)；分类 cs.CV、cs.CL、cs.AI

Comments 50 pages, 14 figures, 42 tables. NeurIPS 2025 Datasets and Benchmarks Track

VLSP 2025 MLQA-TSR Challenge: Vietnamese Multimodal Legal Question Answering on Traffic Sign Regulation

Son T. Luu, Trung Vo, Hiep Nguyen, Khanh Quoc Tran, Kiet Van Nguyen, Vu Tran, Ngan Luu-Thuy Nguyen, Le-Minh Nguyen

机构 * Japan Advanced Institute of Science and Technology（日本先进科学研究院） ； University of Information Technology（信息技术大学） ； Vietnam National University（越南国家大学） 纠错

专题命中 多模态评测 ：multimodal(title,abstract)；分类 cs.CL、cs.AI

Comments VLSP 2025 MLQA-TSR Share Task

Can They Dixit? Yes they Can! Dixit as a Playground for Multimodal Language Model Capabilities

Nishant Balepur, Dang Nguyen, Dayeon Ki

机构 * University of Maryland（马里兰大学） 纠错

专题命中 多模态评测 ：multimodal(title)；multi-modal(abstract)；分类 cs.CL、cs.AI

Comments Accepted as a Spotlight paper at the EMNLP 2025 Wordplay Workshop

Towards Reliable Evaluation of Large Language Models for Multilingual and Multimodal E-Commerce Applications

Shuyi Xie, Ziqin Liew, Hailing Zhang, Haibo Zhang, Ling Hu, Zhiqiang Zhou, Shuman Liu, Anxiang Zeng

专题命中 多模态评测 ：multimodal(title,abstract)；分类 cs.AI

mmWalk: Towards Multi-modal Multi-view Walking Assistance

Kedi Ying, Ruiping Liu, Chongyan Chen, Mingzhe Tao, Hao Shi, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen

机构 * CV:HCI, KIT（KIT计算机视觉与人机交互中心） ； Hunan University（湖南大学） ； ETH Zurich（苏黎世联邦理工学院） ； University of Texas at Austin（德克萨斯大学奥斯汀分校） ； Zhejiang University（浙江大学） 纠错

专题命中 多模态评测 ：multi-modal(title,abstract)；分类 cs.CV

Comments Accepted by NeurIPS 2025 Datasets and Benchmarks Track. Data and Code: https://github.com/KediYing/mmWalk

Benchmarking GPT-5 for biomedical natural language processing

Yu Hou, Zaifu Zhan, Min Zeng, Yifan Wu, Shuang Zhou, Rui Zhang

专题命中 多模态评测 ：multimodal(abstract)；分类 cs.CL、cs.AI

Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models

Peter Robicheaux, Matvei Popov, Anish Madan, Isaac Robinson, Joseph Nelson, Deva Ramanan, Neehar Peri

机构 * Roboflow ； Carnegie Mellon University（卡内基梅隆大学） 纠错

专题命中 多模态评测 ：multi-modal(abstract)；分类 cs.CV、cs.CL

Comments The first two authors contributed equally. This work has been accepted to the Neural Information Processing Systems (NeurIPS) 2025 Datasets & Benchmark Track. Project Page: https://rf100-vl.org/

REOBench: Benchmarking Robustness of Earth Observation Foundation Models

Xiang Li, Yong Tao, Siyuan Zhang, Siwei Liu, Zhitong Xiong, Chunbo Luo, Lu Liu, Mykola Pechenizkiy, Xiao Xiang Zhu, Tianjin Huang

机构 * University of Bristol, UK（英国布里斯托大学） ； University of Exeter, UK（英国埃克塞特大学） ； South China Normal University, China（华南师范大学） ； The University of Aberdeen, UK（英国阿伯丁大学） ； Technical University of Munich, Germany（慕尼黑技术大学） ； Eindhoven University of Technology, NL（埃因霍温理工大学） 纠错

专题命中 多模态评测 ：multimodal(abstract)；分类 cs.CV

Comments Accepted to NeruIPS 2025 D&B Track

QUB-PHEO: A Visual-Based Dyadic Multi-View Dataset for Intention Inference in Collaborative Assembly

Samuel Adebayo, Seán McLoone, Joost C. Dessing

机构 * Centre for Intelligent Autonomous Manufacturing Systems, Queen’s University Belfast（智能自主制造系统研究中心，女王大学贝尔法斯特） ； School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast（电子、电气工程与计算机科学学院，女王大学贝尔法斯特） ； School of Psychology, Queen’s University Belfast（心理学学院，女王大学贝尔法斯特） 纠错

专题命中 多模态评测 ：multimodal(abstract)；分类 cs.CV

Journal ref IEEE Access, Vol. 12, pp. 157050-157066, 2024

Beyond Static Knowledge Messengers: Towards Adaptive, Fair, and Scalable Federated Learning for Medical AI

Jahidul Arafat, Fariha Tasmin, Sanjaya Poudel, Iftekhar Haider

机构 * Department of Computer Science and Software Engineering, Auburn University（计算机科学与软件工程系，阿伯丁大学） ； Department of Information and Communication Technology, Bangladesh University of Professionals（信息与通信技术系，孟加拉国专业大学） ； Mymensingh Medical College and Hospital（迈明辛医疗学院和医院） 纠错

专题命中 多模态评测 ：multi-modal(abstract)

Comments 20 pages, 4 figures, 14 tables. Proposes Adaptive Fair Federated Learning (AFFL) algorithm and MedFedBench benchmark suite for healthcare federated learning

Floquet Analysis of Frequency Collisions

Kentaro Heya, Moein Malekakhlagh, Seth Merkel, Naoki Kanazawa, Emily Pritchett

专题命中 多模态评测 ：multi-modal(abstract)