多模态大模型

FT-ARM: Fine-Tuned Agentic Reflection Multimodal Language Model for Pressure Ulcer Severity Classification with Reasoning

Reza Saadati Fard, Emmanuel Agu, Palawat Busaranuvong, Deepak Kumar, Shefalika Gautam, Bengisu Tulu, Diane Strong, Lorraine Loretz

机构 * Worcester Polytechnic Institute（沃斯特理工学院） 纠错

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

Think Twice Before You Judge: Mixture of Dual Reasoning Experts for Multimodal Sarcasm Detection

Soumyadeep Jana, Abhrajyoti Kundu, Sanasam Ranbir Singh

机构 * Indian Institute of Technology Guwahati（印度理工学院古瓦哈提） 纠错

专题命中 多模态评测 ：multimodal(title,abstract)；image-text(abstract)；分类 cs.CL

MMM-Fact: A Multimodal, Multi-Domain Fact-Checking Dataset with Multi-Level Retrieval Difficulty

Wenyan Xu, Dawei Xiang, Tianqi Ding, Weihai Lu

专题命中 多模态评测 ：multimodal(title,abstract)；cross-modal(abstract)

Comments Dataset link: https://huggingface.co/datasets/Wenyan0110/MMM-Fact

InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts

Tianchi Xie, Minzhi Lin, Mengchen Liu, Yilin Ye, Changjian Chen, Shixia Liu

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

RoadSens-4M: A Multimodal Smartphone & Camera Dataset for Holistic Road-way Analysis

Amith Khandakar, David Michelson, Shaikh Golam Rabbani, Fariya Bintay Shafi, Md. Faysal Ahamed, Khondokar Radwanur Rahman, Md Abidur Rahman, Md. Fahmidun Nabi, Mohamed Arselene Ayari, Khaled Khan, Ponnuthurai Nagaratnam Suganthan

专题命中 多模态评测 ：multimodal(title)

Scalable predictive processing framework for multitask caregiving robots

Hayato Idei, Tamon Miyake, Tetsuya Ogata, Yuichi Yamashita

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

TraveLLM: Could you plan my new public transit route in face of a network disruption?

Bowen Fang, Zixiao Yang, Xuan Di

机构 * Department of Industrial Engineering and Operations Research, Columbia University（工业工程与运营管理系，哥伦比亚大学） ； Department of Civil Engineering and Engineering Mechanics, Columbia University（土木工程与工程力学系，哥伦比亚大学） ； Data Science Institute, Columbia University（数据科学研究院，哥伦比亚大学） 纠错

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

Comments Accepted to ITSC 2025

Bayesian Neural Networks vs. Mixture Density Networks: Theoretical and Empirical Insights for Uncertainty-Aware Nonlinear Modeling

Riddhi Pratim Ghosh, Ian Barnett

机构 * Department of Mathematics and Statistics, Bowling Green State University（数学与统计学系，布恩维尔格林州立大学） ； Department of Biostatistics, University of Pennsylvania（生物统计学系，宾夕法尼亚大学） 纠错

专题命中 多模态评测 ：multimodal(abstract)

Comments 20 pages, 2 figures