Results 121 to 130 of about 16,504,576 (273)

MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models

open access: yesAdvances in Neural Information Processing Systems 37
Multimodal large language models (MLLMs) have demonstrated impressive capabilities across various vision-language tasks. However, a generalist MLLM typically underperforms compared with a specialist MLLM on most VL tasks, which can be attributed to task interference.
Leyang Shen   +4 more
openaire   +3 more sources

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

Charting Endocrine Progenitors Across Species and Organs

open access: yesAdvanced Science, EarlyView.
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing   +21 more
wiley   +1 more source

Longitudinal Morphomolecular Monitoring of Head and Neck Carcinogenesis

open access: yesAdvanced Science, EarlyView.
A miniaturized endoscopic probe that integrates Raman spectroscopy and optical coherence tomography, enabling simultaneous molecular and structural imaging of living tissue, was developed. Applied longitudinally in a mouse model of head and neck cancer, the system tracks disease progression from precancerous lesions to invasive cancer.
Jianrong Qiu   +7 more
wiley   +1 more source

The New Frontier of Quality Evaluation for Visual Sensors: A Survey of Large Multimodal Model-Based Methods

open access: yesSensors
Visual quality assessment is entering a new frontier as media evolve from static images to temporally dynamic videos and 3D content. These visual signals are typically captured by sensing devices such as cameras and depth sensors, whose acquisition ...
Qihang Ge   +4 more
doaj   +1 more source

A Refer-and-Ground Multimodal Large Language Model for Biomedicine

open access: yes
With the rapid development of multimodal large language models (MLLMs), especially their capabilities in visual chat through refer and ground functionalities, their significance is increasingly recognized. However, the biomedical field currently exhibits a substantial gap in this area, primarily due to the absence of a dedicated refer and ground ...
Xiaoshuang Huang   +6 more
openaire   +3 more sources

LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models

open access: yesCoRR
The modeling of environmental ecosystems plays a pivotal role in the sustainable management of our planet. Accurate prediction of key environmental variables over space and time can aid in informed policy and decision-making, thus improving people's livelihood.
Haoran Li 0011   +5 more
openaire   +3 more sources

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

open access: yesAdvanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale   +6 more
wiley   +1 more source

Large language models in the management of chronic ocular diseases: a scoping review

open access: yesFrontiers in Cell and Developmental Biology
Large language models, a cutting-edge technology in artificial intelligence, are reshaping the new paradigm of chronic ocular diseases management. In this study, we comprehensively examined the current status and trends in the application of large ...
Jiatong Zhang   +6 more
doaj   +1 more source

ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models

open access: yes
Effective collaboration begins with knowing when to ask for help. For example, when trying to identify an occluded object, a human would ask someone to remove the obstruction. Can MLLMs exhibit a similar "proactive" behavior by requesting simple user interventions?
Thomas De Min   +4 more
openaire   +3 more sources

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