Results 61 to 70 of about 89,234 (277)

Research on risk decision-making generation method for water conservancy project based on multimodal knowledge graph and large language model.

PLoS ONE
Traditional knowledge graphs of water conservancy project risks have supported risk decision-making. However, they are constrained by limited data modalities and low accuracy in information extraction.
Libo Yang, Yuan Li, Junhua Tan, Libo Mao
doaj   +1 more source

Adaptive Multimodal Fusion Architecture for Heterogeneous Embedding Spaces in Retrieval-Augmented Generation Systems

IEEE Access
Retrieval-augmented generation systems integrate external information to mitigate hallucinations in large language models, yet existing multimodal retrieval-augmented generation implementations struggle with heterogeneous embedding spaces from diverse ...
Timothy Dillan, Sani Muhamad Isa, Abba Suganda Girsang, Derwin Suhartono   +3 more
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

MGPRAG: Enhancing Medical Large Language Models via Precision Retrieval-Augmented Generation

IEEE Access
Large language models(LLMs) have demonstrated strong performance in general tasks, but remain insufficiently trusted in complex clinical question answering (CQA). This is largely due to concerns about the accuracy of the generated content.
Yanwen Shen, Dahong Xu, Xi Li, Lei Fu, Hong Liu   +4 more
doaj   +1 more source

Augmented Memory for Conference Attendees [PDF]

, 2007
Human memory at its best can perform astonishing feats - the tiniest snippet of information can trigger whole chains of associations, ending at an item long-believed forgotten.
Hinze, Annika, Schweer, Andrea
core   +1 more source

Corrective Retrieval Augmented Generation

Large language models (LLMs) inevitably exhibit hallucinations since the accuracy of generated texts cannot be secured solely by the parametric knowledge they encapsulate. Although retrieval-augmented generation (RAG) is a practicable complement to LLMs, it relies heavily on the relevance of retrieved documents, raising concerns about how the model ...
Yan, Shi-Qi, Gu, Jia-Chen, Zhu, Yun, Ling, Zhen-Hua   +3 more
openaire   +2 more sources

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

Distributed Retrieval-Augmented Generation

As large language models (LLMs) become increasingly adopted on edge devices, Retrieval-Augmented Generation (RAG) is gaining prominence as a solution to address factual deficiencies and hallucinations by integrating external knowledge. However, centralized RAG architectures face significant challenges in data privacy and scalability.
Xu, Chenhao, Gao, Longxiang, Miao, Yuan, Zheng, Xi   +3 more
openaire   +2 more sources

Design and Modeling of a High‐Displacement, Skin‐Integrated Flexible Electromagnetic Actuator for Haptic Interfaces in Virtual Reality

Advanced Robotics Research, EarlyView.
A flexible, skin‐integrated electromagnetic actuator is developed for wearable virtual/augmented reality (VR/AR) haptic systems. A tunable design model enables control over displacement and resonance frequency. The system is validated through a custom VR application with a 6 × 4 actuator array, demonstrating real‐time, spatially targeted tactile ...
Naji Tarabay, Alexandra Zhang Jiang, Ziteng Liu, Rachel Villamor, Derek Cha, Ananya Renuka Balakrishna, Tianshu Liu, Priyanshu Agarwal, Rainer Dömer, Camilo Velez   +9 more
wiley   +1 more source

MEGA-RAG: a retrieval-augmented generation framework with multi-evidence guided answer refinement for mitigating hallucinations of LLMs in public health

Frontiers in Public Health
IntroductionThe increasing adoption of large language models (LLMs) in public health has raised significant concerns about hallucinations-factually inaccurate or misleading outputs that can compromise clinical communication and policy decisions.MethodsWe
Shan Xu, Shan Xu, Zhaokun Yan, Chengxiao Dai, Chengxiao Dai, Fan Wu   +5 more
doaj   +1 more source