Results 201 to 210 of about 188,807 (257)
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Benchmarking Retrieval-Augmented Generation for Medicine
Annual Meeting of the Association for Computational LinguisticsWhile large language models (LLMs) have achieved state-of-the-art performance on a wide range of medical question answering (QA) tasks, they still face challenges with hallucinations and outdated knowledge.
Guangzhi Xiong +3 more
semanticscholar +1 more source
LightRAG: Simple and Fast Retrieval-Augmented Generation
Conference on Empirical Methods in Natural Language ProcessingRetrieval-Augmented Generation (RAG) systems enhance large language models (LLMs) by integrating external knowledge sources, enabling more accurate and contextually relevant responses tailored to user needs. However, existing RAG systems have significant
Zirui Guo +4 more
semanticscholar +1 more source
ColPali: Efficient Document Retrieval with Vision Language Models
International Conference on Learning RepresentationsDocuments are visually rich structures that convey information through text, but also figures, page layouts, tables, or even fonts. Since modern retrieval systems mainly rely on the textual information they extract from document pages to index documents -
Manuel Faysse +6 more
semanticscholar +1 more source
Implication in information retrieval systems.
2010Some IR models make use of an implication to match a document d and a query q, computing either "q implies d" (e.g. in fuzzy inclusion models) or, the other way, "d implies q" (e.g. in logical IR models). This paper analyzes, from a theoretical point of view, the IR models using both approaches.
Ughetto, Laurent +4 more
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Bandit Algorithms in Information Retrieval
Foundations and Trends in Information Retrieval, 2019Bandit algorithms, named after casino slot machines sometimes known as “one-armed bandits”, fall into a broad category of stochastic scheduling problems. In the setting with multiple arms, each arm generates a reward with a given probability. The gambler’
D. Głowacka
semanticscholar +1 more source
INFORMATION RETRIEVAL SYSTEM. VOLUME II. FLOWCHARTS FOR INFORMATION RETRIEVAL SYSTEM
1969Abstract : The Fort Detrick Information Retrieval System is described in a companion document entitled - Information Retrieval System - Vol I (AD-699 387). This document contains the detailed flowcharts for the overall system.
null Jack D., Jr Mehle
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Evaluation of Retrieval-Augmented Generation: A Survey
arXiv.orgRetrieval-Augmented Generation (RAG) has recently gained traction in natural language processing. Numerous studies and real-world applications are leveraging its ability to enhance generative models through external information retrieval.
Hao Yu +5 more
semanticscholar +1 more source
Conversational Information Retrieval and Recommender Systems
Conversational systems are increasing their popularity since they allow users to interact in a simple and natural way. Information Retrieval (IR) and Recommender Systems (RS) represents two categories of systems that strongly rely on the interaction with the user.Faggioli, Guglielmo +2 more
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Graph Retrieval-Augmented Generation: A Survey
ACM Trans. Inf. Syst.Recently, Retrieval-Augmented Generation (RAG) has achieved remarkable success in addressing the challenges of Large Language Models (LLMs) without necessitating retraining.
Boci Peng +7 more
semanticscholar +1 more source