Results 41 to 50 of about 3,227,651 (213)

GeoAgentic-RAG: A Multi-Agent framework for autonomous geospatial reasoning and visual insight generation with LLM

International Journal of Applied Earth Observations and Geoinformation
Conventional Retrieval-Augmented Generation (RAG) systems have limited effectiveness in geospatial question answering because text-based similarity retrieval cannot adequately represent spatial semantics such as topology and spatial context.
Chao Liang, Yuanzheng Cui, Run Shi, Guixiang Zha, Xin Yin, Mingzhong Xiao, Dong Xu, Xuejun Duan, Bo Huang   +8 more
doaj   +1 more source

Large Datasets for the Euro Area and Its Member Countries and the Dynamic Effects of the Common Monetary Policy

Journal of Applied Econometrics, EarlyView.
ABSTRACT We introduce EA‐MD‐QD, a new publicly available dataset comprising 1136 macroeconomic time series for the euro area (EA) and its ten largest member countries observed at monthly or quarterly frequency. Since January 2024, EA‐MD‐QD has been updated monthly and continuously revised, providing a valuable resource for policy analysis in the EA ...
Matteo Barigozzi, Claudio Lissona, Lorenzo Tonni   +2 more
wiley   +1 more source

The 5R's of large language model‐assisted diagnosis: A practical framework for hospitalists

Journal of Hospital Medicine, EarlyView.
Abstract Diagnostic error remains a major patient safety challenge in hospital medicine. Large language models (LLMs) are increasingly used by clinicians to aid in diagnosis, yet most lack a structured approach for doing so safely and effectively. In this piece, we propose a practical, clinician‐centered framework for LLM‐assisted diagnosis.
Peter Barish, Andrew D. Auerbach, Sumant R. Ranji   +2 more
wiley   +1 more source

“Menopausal, Depleted, and Nostalgic”: The Bittersweet Effects of Menopause for Women Leaders

Journal of Organizational Behavior, EarlyView.
ABSTRACT Menopause is a natural but underexamined female experience in work settings, with significant implications for women in leadership positions. Drawing on self‐regulation perspectives, we develop a conceptual model examining how menopausal symptom severity shapes women leaders' experiences at work.
Olga Epitropaki, Maria Kakarika
wiley   +1 more source

Experimental Study on Retrieval-Augmented Generation: Engineering and Evaluation of a Custom RAG system for Open-Domain QA [PDF]

openThis thesis presents the design, implementation, and evaluation of a custom Retrieval-Augmented Generation (RAG) system for Open-Domain Question Answering (QA). The work bases its foundations from the TREC RAG 2024 Track and focuses on combining both
ANTOLINI, GIANLUCA
core  

Multimodal retrieval-augmented generation framework for visually rich knowledge in the architecture domain

Architectural Intelligence
Architectural design relies heavily on rich and multimodal knowledge—including text descriptions, detailed tables, and complex visual information—to inform creative and technical decision-making.
Xianchuan Meng, Ziyu Tong
doaj   +1 more source

Hybrid cache-graph retrieval-augmented generation (RAG): enhancing network threat analysis through structural reasoning and memory optimization [PDF]

PeerJ Computer Science
The increasing complexity of network threats demands smarter and faster analytical tools. Existing models often struggle with zero-day attacks or high-volume traffic. Retrieval-augmented generation (RAG) offers a promising approach by combining retrieval
Muhammad Mahmoud, Souham Meshoul, Mohamed Batouche, Mohamed Hammad   +3 more
doaj   +2 more sources

PVmatAgent: A Large Language Model (LLM) Agent for Perovskite Photovoltaic Material Design and Analysis

Materials Genome Engineering Advances, EarlyView.
PVmatAgent, an LLM‐based autonomous agent integrating 13 domain‐specific tools, executes the complete photovoltaic materials discovery pipeline (from literature retrieval and crystal structure generation to efficiency prediction and commercial assessment), while preventing hallucination via an enforced output parser.
Hangyuan Deng, Yuyan Wu, Youle Wang, Lei Zhang   +3 more
wiley   +1 more source

Widespread Bomb Fishing in Indo‐Pacific Archipelago Revealed Through Machine Learning Accelerated Passive Acoustic Monitoring

Remote Sensing in Ecology and Conservation, EarlyView.
AI‐accelerated passive acoustic monitoring reveals extensive bomb fishing within the Spermonde Archipelago, with annual incidents numbering in the thousands. ABSTRACT Bomb fishing is recognised as the most destructive fishing practice that can be performed in our oceans.
Ben Williams, Mars Coral Restoration Project Monitoring Team, Aimee du Luart, Sonny Burniston, Tries B. Razak, Timothy A. C. Lamont, David J. Smith, Jamaluddin Jompa, David Curnick, Kate E. Jones   +9 more
wiley   +1 more source

A condition-aware retrieval-augmented decision support framework for tomato cultivation management

Frontiers in Plant Science
Tomato cultivation management requires decisions that depend on growth stage, environment, and production scenarios. Retrieval-augmented generation (RAG) can ground large language model (LLM) outputs in external knowledge, but conventional retrieval ...
Yiqun Wang, Keqing Zhao, Keqing Zhao, Hongda Li, Hongda Li, Ruihuan Wang, Wenbai Chen   +6 more
doaj   +1 more source