AI 大模型

多模态大模型

跨文本、图像、视频、音频等模态的大模型与学习方法。

2026-01-12 至 2026-01-12 共收录 3 篇信号源：cs.CV, cs.CL, cs.AI, cs.MM, eess.AS

1. 其他多模态 3 篇

2601.05095 2026-01-12 cs.NE 78%

Advanced Multimodal Learning for Seizure Detection and Prediction: Concept, Challenges, and Future Directions

先进多模态学习在癫痫检测与预测中的应用：概念、挑战与未来方向

Ijaz Ahmad, Faizan Ahmad, Sunday Timothy Aboyeji, Yongtao Zhang, Peng Yang, Javed Ali Khan, Rab Nawaz, Baiying Lei

专题命中其他多模态：multimodal(title,abstract)

AI总结本文综述了先进多模态学习在癫痫检测与预测中的应用，探讨了其概念、挑战及未来发展方向，旨在推动神经技术向更实用的解决方案发展。

2510.01016 2026-01-12 stat.CO cond-mat.mtrl-sci cond-mat.stat-mech 78%

Sequential Bayesian Inference of the GTN Damage Model Using Multimodal Experimental Data

基于多模态实验数据的GTN损伤模型序贯贝叶斯推断

Mohammad Ali Seyed Mahmoud, Dominic Renner, Ali Khosravani, Surya R. Kalidindi

专题命中其他多模态：multimodal(title,abstract)

AI总结本文提出基于多模态实验数据的序贯贝叶斯推断方法，用于校准GTN损伤模型，通过PCA降维和顺序应用BI提升参数估计精度。

Comments 52 pages, 17 figures, Submitted to journal

2601.05375 2026-01-12 cs.GT 50%

Congestion Mitigation in Vehicular Traffic Networks with Multiple Operational Modalities

多操作模式下的车辆交通网络拥堵缓解

Doris E. M. Brown, Sajal K. Das

专题命中其他多模态：multi-modal(abstract)

AI总结本文提出TACTS策略，通过信任感知控制交易策略缓解多操作模式车辆交通网络拥堵问题。

Comments 10 pages, 4 figures; This is a working draft and can potentially have errors. Any feedback will be greatly appreciated, and will be acknowledged in the subsequent versions