Results 61 to 70 of about 16,728 (252)

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

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

Bridging text and topology: empowering large language models through graph retrieval for constraint-aware reasoning in campus digital twins

International Journal of Digital Earth
Large language models (LLMs) have demonstrated remarkable capabilities in understanding and generating human language from heterogeneous data sources.
Wenyu Zhang, Suphanut Jamonnak, Weishan Bai, Xinyue Ye   +3 more
doaj   +1 more source

Loops On Retrieval Augmented Generation (LoRAG)

CoRR
This paper presents Loops On Retrieval Augmented Generation (LoRAG), a new framework designed to enhance the quality of retrieval-augmented text generation through the incorporation of an iterative loop mechanism. The architecture integrates a generative model, a retrieval mechanism, and a dynamic loop module, allowing for iterative refinement of the ...
Ayush Thakur, Rashmi Vashisth
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

DMAR: Dynamic Multi-Anchor Retrieval with Structure-Aware Query Reformulation for Knowledge-Augmented Generation

Applied Sciences
Retrieval-Augmented Generation (RAG) has become an important paradigm for knowledge-intensive natural language processing, as it enables Large Language Models (LLMs) to access external evidence beyond their parametric memory.
Zhou Lei, Yanqi Xu, Shengbo Chen
doaj   +1 more source

Data Auctions for Retrieval Augmented Generation

CoRR
We study the problem of data selling for Retrieval Augmented Generation (RAG) tasks in Generative AI applications. We model each buyer's valuation of a dataset with a natural coverage-based valuation function that increases with the inclusion of more relevant data points that would enhance responses to anticipated queries.
Minbiao Han, Seyed A. Esmaeili, Michael Albert 0002, Haifeng Xu   +3 more
openaire   +3 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

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

Retrieval-Augmented Generation with Conflicting Evidence

CoRR
Large language model (LLM) agents are increasingly employing retrieval-augmented generation (RAG) to improve the factuality of their responses. However, in practice, these systems often need to handle ambiguous user queries and potentially conflicting information from multiple sources while also suppressing inaccurate information from noisy or ...
Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal   +3 more
openaire   +2 more sources