Cover Image

A Vision for Multisensory Intelligence: Sensing, Science, and Synergy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Liang, Paul Pu
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Foundations of Multisensory Artificial Intelligence
by: Liang, Paul Pu
Published: (2024)

IoT-LM: Large Multisensory Language Models for the Internet of Things
by: Mo, Shentong, et al.
Published: (2024)

HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning
by: Zhou, Chuhao, et al.
Published: (2025)

MultiMed: Massively Multimodal and Multitask Medical Understanding
by: Mo, Shentong, et al.
Published: (2024)

MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World
by: Hong, Yining, et al.
Published: (2024)

Toward More Reliable Artificial Intelligence: Reducing Hallucinations in Vision-Language Models
by: Sanogo, Kassoum, et al.
Published: (2025)

MultiIoT: Benchmarking Machine Learning for the Internet of Things
by: Mo, Shentong, et al.
Published: (2023)

HEMM: Holistic Evaluation of Multimodal Foundation Models
by: Liang, Paul Pu, et al.
Published: (2024)

Unified Vision-Language Modeling via Concept Space Alignment
by: Qiu, Yifu, et al.
Published: (2026)

Enhancing Vision-Language Model Pre-training with Image-text Pair Pruning Based on Word Frequency
by: Liang, Mingliang, et al.
Published: (2024)

Situational Awareness Matters in 3D Vision Language Reasoning
by: Man, Yunze, et al.
Published: (2024)

Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
by: Zhao, Wenyuan, et al.
Published: (2025)

Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models
by: Wu, Junfei, et al.
Published: (2024)

A Novel Framework for Automated Explain Vision Model Using Vision-Language Models
by: Nguyen, Phu-Vinh, et al.
Published: (2025)

Generative Artificial Intelligence: A Systematic Review and Applications
by: Sengar, Sandeep Singh, et al.
Published: (2024)

VisionZip: Longer is Better but Not Necessary in Vision Language Models
by: Yang, Senqiao, et al.
Published: (2024)

Vision Mamba: A Comprehensive Survey and Taxonomy
by: Liu, Xiao, et al.
Published: (2024)

Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models
by: Panos, Aristeidis, et al.
Published: (2024)

VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
by: Yang, Senqiao, et al.
Published: (2025)

AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition
by: Lin, Zichuan, et al.
Published: (2025)

Mamba in Vision: A Comprehensive Survey of Techniques and Applications
by: Rahman, Md Maklachur, et al.
Published: (2024)

VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-Tuning
by: Luo, Run, et al.
Published: (2025)

GutenOCR: A Grounded Vision-Language Front-End for Documents
by: Heidenreich, Hunter, et al.
Published: (2026)

MMFactory: A Universal Solution Search Engine for Vision-Language Tasks
by: Fan, Wan-Cyuan, et al.
Published: (2024)

Small Vision-Language Models: A Survey on Compact Architectures and Techniques
by: Patnaik, Nitesh, et al.
Published: (2025)

Voila-A: Aligning Vision-Language Models with User's Gaze Attention
by: Yan, Kun, et al.
Published: (2023)

EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception
by: Chowdhury, Sanjoy, et al.
Published: (2025)

Vision-Language Model Based Handwriting Verification
by: Chauhan, Mihir, et al.
Published: (2024)

Differentiable Prompt Learning for Vision Language Models
by: Huang, Zhenhan, et al.
Published: (2024)

How Culturally Aware are Vision-Language Models?
by: Burda-Lassen, Olena, et al.
Published: (2024)

Renaissance: Investigating the Pretraining of Vision-Language Encoders
by: Fields, Clayton, et al.
Published: (2024)

Do Vision and Language Models Share Concepts? A Vector Space Alignment Study
by: Li, Jiaang, et al.
Published: (2023)

Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models
by: Han, Zongbo, et al.
Published: (2024)

Modeling Caption Diversity in Contrastive Vision-Language Pretraining
by: Lavoie, Samuel, et al.
Published: (2024)

Do Vision and Language Encoders Represent the World Similarly?
by: Maniparambil, Mayug, et al.
Published: (2024)

Efficient Architectures for High Resolution Vision-Language Models
by: Carvalho, Miguel, et al.
Published: (2025)

Understanding the Effects of Distractors on Reasoning Vision-Language Models
by: Bae, Jiyun, et al.
Published: (2025)

Coordinated Robustness Evaluation Framework for Vision-Language Models
by: Babu, Ashwin Ramesh, et al.
Published: (2025)

OmniParser for Pure Vision Based GUI Agent
by: Lu, Yadong, et al.
Published: (2024)

Vision Learners Meet Web Image-Text Pairs
by: Zhao, Bingchen, et al.
Published: (2023)