Cover Image

Deploying Large Language Models With Retrieval Augmented Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Prabhune, Sonal, Berndt, Donald J.
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Computation and Language 68T01 I.2.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CAG: Chunked Augmented Generation for Google Chrome's Built-in Gemini Nano
by: Surulimuthu, Vivek Vellaiyappan, et al.
Published: (2024)

Unlocking the Potential of Metaverse in Innovative and Immersive Digital Health
by: Ebrahimzadeh, Fatemeh, et al.
Published: (2024)

Compressible Softmax-Attended Language under Incompressible Attention
by: Lee, Wonsuk
Published: (2026)

BEATS: Bias Evaluation and Assessment Test Suite for Large Language Models
by: Abhishek, Alok, et al.
Published: (2025)

SHARP: Social Harm Analysis via Risk Profiles for Measuring Inequities in Large Language Models
by: Abhishek, Alok, et al.
Published: (2026)

CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language
by: Zhong, Lin, et al.
Published: (2025)

Meta Knowledge for Retrieval Augmented Large Language Models
by: Mombaerts, Laurent, et al.
Published: (2024)

A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation
by: Chen, Ziyang, et al.
Published: (2025)

From Language Models to Practical Self-Improving Computer Agents
by: Sheng, Alex
Published: (2024)

An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool
by: Lomasto, Luigi, et al.
Published: (2026)

MATH-PT: A Math Reasoning Benchmark for European and Brazilian Portuguese
by: Teixeira, Tiago, et al.
Published: (2026)

CUBO: Self-Contained Retrieval-Augmented Generation on Consumer Laptops 10 GB Corpora, 16 GB RAM, Single-Device Deployment
by: Astrino, Paolo
Published: (2026)

Data and AI governance: Promoting equity, ethics, and fairness in large language models
by: Abhishek, Alok, et al.
Published: (2025)

Reasoning Promotes Robustness in Theory of Mind Tasks
by: de Haan, Ian B., et al.
Published: (2026)

A Simplified Retriever to Improve Accuracy of Phenotype Normalizations by Large Language Models
by: Hier, Daniel B., et al.
Published: (2024)

PLUGH: A Benchmark for Spatial Understanding and Reasoning in Large Language Models
by: Tikhonov, Alexey
Published: (2024)

RTTC: Reward-Guided Collaborative Test-Time Compute
by: Muñoz, J. Pablo, et al.
Published: (2025)

ECG-FM: An Open Electrocardiogram Foundation Model
by: McKeen, Kaden, et al.
Published: (2024)

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice
by: Demir, M. Mikail, et al.
Published: (2025)

FAIR-RAG: Faithful Adaptive Iterative Refinement for Retrieval-Augmented Generation
by: Asl, Mohammad Aghajani, et al.
Published: (2025)

Ideological Isolation in Online Social Networks: A Survey of Computational Definitions, Metrics, and Mitigation Strategies
by: Wang, Xiaodan, et al.
Published: (2026)

Enhancing PyKEEN with Multiple Negative Sampling Solutions for Knowledge Graph Embedding Models
by: d'Amato, Claudia, et al.
Published: (2025)

Triplètoile: Extraction of Knowledge from Microblogging Text
by: Zavarella, Vanni, et al.
Published: (2024)

Universal Adversarial Perturbations for Vision-Language Pre-trained Models
by: Zhang, Peng-Fei, et al.
Published: (2024)

The Right Prompts for the Job: Repair Code-Review Defects with Large Language Model
by: Zhao, Zelin, et al.
Published: (2023)

Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly
by: Bian, Yijun, et al.
Published: (2024)

Driving down Poisson error can offset classification error in clinical tasks
by: Delahunt, Charles B., et al.
Published: (2024)

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms
by: Capdevielle, Tomás, et al.
Published: (2025)

A Theoretical Framework for Adaptive Utility-Weighted Benchmarking
by: Waggoner, Philip
Published: (2026)

A Taxonomy of Omnicidal Futures Involving Artificial Intelligence
by: Critch, Andrew, et al.
Published: (2025)

Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity
by: Huang, Ningyuan, et al.
Published: (2025)

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case
by: Leyli-Abadi, Milad, et al.
Published: (2025)

Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes
by: Bian, Yijun, et al.
Published: (2024)

VACoDe: Visual Augmented Contrastive Decoding
by: Kim, Sihyeon, et al.
Published: (2024)

Instilling Organisational Values in Firefighters through Simulation-Based Training
by: Osman, Nardine, et al.
Published: (2025)

GACL: Graph Attention Collaborative Learning for Temporal QoS Prediction
by: Hu, Shengxiang, et al.
Published: (2024)

Surrealistic-like Image Generation with Vision-Language Models
by: Ayten, Elif, et al.
Published: (2024)

A Mixed User-Centered Approach to Enable Augmented Intelligence in Intelligent Tutoring Systems: The Case of MathAIde app
by: Guerino, Guilherme, et al.
Published: (2025)

SPD-RAG: Sub-Agent Per Document Retrieval-Augmented Generation
by: Akay, Yagiz Can, et al.
Published: (2026)

Large Language Models Report Subjective Experience Under Self-Referential Processing
by: Berg, Cameron, et al.
Published: (2025)