Results 71 to 80 of about 15,745,009 (280)
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li +7 more
wiley +1 more source
Personalized Nutrition-Aware Dietary Recommendation With Multimodal Large Language Models
Poor diet quality is a major modifiable risk factor for obesity, cardiovascular disease, and metabolic disorders, motivating a growing ecosystem of diet-tracking apps and recipe platforms that promise personalized guidance. However, most of these systems
Xiwen Deng, Wenzhe Tu
doaj +1 more source
Design of Web Automation Agent Based on Multimodal Large Language Models [PDF]
Traditional Web automation methods rely on scripted operation strategies, which suffer from poor robustness and high maintenance costs, making them difficult to adapt to the dynamic and complexity of modern Web systems.
DUAN Wenrui, WANG Fuxi, HUANG Jian, GAO Tao, SHEN Bo, LIU Huyuntian
doaj +1 more source
Hallucination of Multimodal Large Language Models: A Survey
This survey presents a comprehensive analysis of the phenomenon of hallucination in multimodal large language models (MLLMs), also known as Large Vision-Language Models (LVLMs), which have demonstrated significant advancements and remarkable abilities in multimodal tasks.
Zechen Bai +6 more
openaire +2 more sources
A Lagrangian discretization multiagent approach for large-scale multimodal dynamic assignment [PDF]
This paper develops a Lagrangian discretization multiagent model for large-scale multimodal simulation and assignment. For road traffic flow modeling, we describe the dynamics of vehicle packets based on a macroscopic model on the basis of a Lagrangian ...
Jean-Patrick Lebacque, Tai-Yu Ma
core
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
FMRAG: retrieval-augmented multimodal large language models for fisheries intelligence
IntroductionMultimodal large language models (MLLMs) have exhibited significant potential for fisheries analysis. However, their inherent hallucination issues in species identification, ecological activity interpretation, environmental assessment, and ...
Yao Song, Yao Song, Chunli Lv, Kun Zhu
doaj +1 more source
Revealing Multimodal Causality with Large Language Models
Accepted at NeurIPS ...
Jin Li 0002 +7 more
openaire +2 more sources
Large Language Models – Von Bard bis BERT und ChatGPT
Damals, April 2023 auf der Jahrestagung in Berlin, haben wir gefragt: Können wir uns nicht auch mal bei SAP in Walldorf treffen? Und über welches Thema wollen wir sprechen?
Schmitz, Denise +2 more
core +1 more source
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley +1 more source

