Results 31 to 40 of about 3,227,651 (213)

From Dictionaries to Deep Learning: A Systematic Mapping Review of the Natural Language Processing Tasks Used to Analyze Sustainability Reports

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study aims at shedding light on the vast landscape of natural language processing (NLP) tasks used when analyzing sustainability reports or sustainability within integrated annual reports. A systematic literature review is carried out, identifying 160 studies of relevance.
Hannes Cordes
wiley   +1 more source

FEDERATED LEARNING-ENHANCED RETRIEVAL AUGMENTED GENERATION (RAG) [PDF]

Techniques are provided to enhance the functions of a retrieval augmented generation (RAG) mechanism for a large language model (LLM). A Federated Learning (FL)-enhanced RAG (FLERAG) mechanism is provided that can account for relevant context-enhancing ...
Kim, Eugenia, Holst, Amanda L., Ph.D., Lee, Myungjin   +2 more
core   +1 more source

Case Study on Understanding the Power of Retrieval Augmented Generation (RAG) [PDF]

Journal of Systemics, Cybernetics and Informatics
This paper explores how Generative AI is changing with the use of Retrieval-Augmented Generation (RAG). RAG helps improve Artificial Intelligence (AI) systems by making them more capable, efficient and accurate.
Venkata Jaipal Reddy Batthula, Richard S. Segall, Sreejith Sivasubramony   +2 more
doaj  

Clinical entity augmented retrieval for clinical information extraction

npj Digital Medicine
Large language models (LLMs) with retrieval-augmented generation (RAG) have improved information extraction over previous methods, yet their reliance on embeddings often leads to inefficient retrieval.
Ivan Lopez, Akshay Swaminathan, Karthik Vedula, Sanjana Narayanan, Fateme Nateghi Haredasht, Stephen P. Ma, April S. Liang, Steven Tate, Manoj Maddali, Robert Joseph Gallo, Nigam H. Shah, Jonathan H. Chen   +11 more
doaj   +1 more source

Automating Systematic Literature Reviews with Retrieval-Augmented Generation: A Comprehensive Overview

Applied Sciences
This study examines Retrieval-Augmented Generation (RAG) in large language models (LLMs) and their significant application for undertaking systematic literature reviews (SLRs).
Binglan Han, Teo Susnjak, Anuradha Mathrani   +2 more
doaj   +1 more source

Ambient technology in epilepsy clinical practice

Epilepsia Open, EarlyView.
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan, Justin F. Rousseau, Lidia M. Moura, Irfan S. Sheikh   +3 more
wiley   +1 more source

Knowledge sourcing, geopolitics, and FDI: An empirical analysis on the US green and digital sectors

Global Strategy Journal, EarlyView.
Abstract Research Summary This paper examines how foreign direct investment (FDI) shapes firms' sourcing of knowledge in the digital and green domains under rising geopolitical frictions. We assemble a firm–country dyadic panel (2013–2020) linking US patent backward citations to firms' FDI, enriched with bilateral geopolitical distance and host‐country
Alberto Maria Radici
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

Artificial intelligence and liquidation: Reality, destiny and fantasy

International Insolvency Review, EarlyView.
Abstract Artificial intelligence (AI) is increasingly reshaping the administration of corporate liquidation. Beyond its established role in financial prediction and data analytics, AI is now assisting insolvency practitioners in identifying the onset of financial distress, managing creditor communications, tracing and valuing assets and enhancing ...
Kai Zhang, Jingchen Zhao
wiley   +1 more source

Improving negative rejection ability in language models: A review of fine-tuned LLMs, RAG, and RAFT

Journal of King Saud University: Computer and Information Sciences
Large Language Models (LLMs) excel in text understanding and generation but struggle to reject irrelevant, ambiguous, or misleading queries, termed negative rejection, impacting reliability in high-stakes contexts.
Li Bowen, Zhong Zhuoqing, Zhang Hengyu, Sun Xubin, Baha Ihnaini   +4 more
doaj   +1 more source