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Retrieval-augmented Generation

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Showing 1–50 of 2196 papers

TitleStatusHype
A Survey of Context Engineering for Large Language Models—0
Context-Aware Search and Retrieval Over Erasure Channels—0
Graph World ModelCode1
Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based ReasoningCode0
Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation—0
CLI-RAG: A Retrieval-Augmented Framework for Clinically Structured and Context Aware Text Generation with LLMs—0
Flippi: End To End GenAI Assistant for E-Commerce—0
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression—0
Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions—0
AI-VaxGuide: An Agentic RAG-Based LLM for Vaccination Decisions—0
Knowledge Protocol Engineering: A New Paradigm for AI in Domain-Specific Knowledge Work—0
CyberRAG: An agentic RAG cyber attack classification and reporting tool—0
RAG-R1 : Incentivize the Search and Reasoning Capabilities of LLMs through Multi-query ParallelismCode5
Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems—0
JointRank: Rank Large Set with Single PassCode0
ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation—0
ComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry—0
Large Language Models Acing Chartered Accountancy—0
Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation—0
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing CorporaCode2
Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal FactualityCode0
RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in RecommendationCode0
Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation—0
MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering—0
SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models—0
Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production ChallengesCode0
Enterprise Large Language Model Evaluation Benchmark—0
MMSearch-R1: Incentivizing LMMs to SearchCode3
AI Assistants to Enhance and Exploit the PETSc Knowledge Base—0
Dialogic Pedagogy for Large Language Models: Aligning Conversational AI with Proven Theories of Learning—0
Controlled Retrieval-augmented Context Evaluation for Long-form RAG—0
QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges—0
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs—0
Accurate and Energy Efficient: Local Retrieval-Augmented Generation Models Outperform Commercial Large Language Models in Medical Tasks—0
T-CPDL: A Temporal Causal Probabilistic Description Logic for Developing Logic-RAG Agent—0
Towards AI Search Paradigm—0
Automatic Large Language Models Creation of Interactive Learning Lessons—0
REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing—0
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents—0
SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification—0
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax TreeCode2
Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution—0
Lightweight Relevance Grader in RAGCode0
AviationLLM: An LLM-based Knowledge System for Aviation Training—0
Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion—0
RMIT-ADM+S at the SIGIR 2025 LiveRAG ChallengeCode1
RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition—0
LTRR: Learning To Rank Retrievers for LLMsCode0
AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video UnderstandingCode0
Tree-Based Text Retrieval via Hierarchical Clustering in RAGFrameworks: Application on Taiwanese RegulationsCode0
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