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Retrieval-augmented Generation

Papers

Showing 926–950 of 2196 papers

TitleStatusHype
Search-o1: Agentic Search-Enhanced Large Reasoning ModelsCode5
A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications—0
RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models—0
Biomedical Relation Extraction via Adaptive Document-Relation Cross-Mapping and Concept Unique Identifier—0
SUGAR: Leveraging Contextual Confidence for Smarter Retrieval—0
Multi-task retriever fine-tuning for domain-specific and efficient RAG—0
Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization—0
End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark: Leveraging Large Language Model Using Integrated Approach—0
Integrating remote sensing data assimilation, deep learning and large language model for interactive wheat breeding yield prediction—0
Knowledge Retrieval Based on Generative AI—0
Re-ranking the Context for Multimodal Retrieval Augmented Generation—0
Retrieval-Augmented Generation by Evidence Retroactivity in LLMs—0
SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving—0
Reading with Intent -- Neutralizing Intent—0
RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance—0
MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation SystemsCode2
Developing an Artificial Intelligence Tool for Personalized Breast Cancer Treatment Plans based on the NCCN Guidelines—0
Sustainable Digitalization of Business with Multi-Agent RAG and LLM—0
Political Events using RAG with LLMs—0
FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models—0
Tree-based RAG-Agent Recommendation System: A Case Study in Medical Test Data—0
Foundations of GenIR—0
Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification—0
QuIM-RAG: Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance—0
LatteReview: A Multi-Agent Framework for Systematic Review Automation Using Large Language ModelsCode2
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