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Retrieval-augmented Generation

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Showing 1801–1850 of 2196 papers

TitleStatusHype
P-RAG: Progressive Retrieval Augmented Generation For Planning on Embodied Everyday Task—0
PRAGyan -- Connecting the Dots in Tweets—0
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization—0
Privacy-Aware RAG: Secure and Isolated Knowledge Retrieval—0
Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions—0
Privacy-Preserving Retrieval-Augmented Generation with Differential Privacy—0
PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification—0
Probing Causality Manipulation of Large Language Models—0
Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval—0
Project Riley: Multimodal Multi-Agent LLM Collaboration with Emotional Reasoning and Voting—0
Prompt Generate Train (PGT): Few-shot Domain Adaption of Retrieval Augmented Generation Models for Open Book Question-Answering—0
Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models—0
Prompt-RAG: Pioneering Vector Embedding-Free Retrieval-Augmented Generation in Niche Domains, Exemplified by Korean Medicine—0
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output—0
Provence: efficient and robust context pruning for retrieval-augmented generation—0
Public Discourse Sandbox: Facilitating Human and AI Digital Communication Research—0
QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors—0
QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges—0
Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis—0
QUB-Cirdan at "Discharge Me!": Zero shot discharge letter generation by open-source LLM—0
QueEn: A Large Language Model for Quechua-English Translation—0
Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies—0
Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models—0
Query Performance Explanation through Large Language Model for HTAP Systems—0
Query pipeline optimization for cancer patient question answering systems—0
Query Routing for Retrieval-Augmented Language Models—0
Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation—0
Question Answering for Decisionmaking in Green Building Design: A Multimodal Data Reasoning Method Driven by Large Language Models—0
Question-Based Retrieval using Atomic Units for Enterprise RAG—0
QuIM-RAG: Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance—0
QuOTE: Question-Oriented Text Embeddings—0
Qwen2.5-32B: Leveraging Self-Consistent Tool-Integrated Reasoning for Bengali Mathematical Olympiad Problem Solving—0
R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation—0
R^3Mem: Bridging Memory Retention and Retrieval via Reversible Compression—0
RAAD-LLM: Adaptive Anomaly Detection Using LLMs and RAG Integration—0
RAC3: Retrieval-Augmented Corner Case Comprehension for Autonomous Driving with Vision-Language Models—0
RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving—0
RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance—0
Rag and Roll: An End-to-End Evaluation of Indirect Prompt Manipulations in LLM-based Application Frameworks—0
RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models—0
RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts—0
RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models—0
RAG based Question-Answering for Contextual Response Prediction System—0
RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems—0
RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation—0
RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance—0
RAGDiffusion: Faithful Cloth Generation via External Knowledge Assimilation—0
RAG Does Not Work for Enterprises—0
Natural Language Interaction with a Household Electricity Knowledge-based Digital Twin—0
RAG-Enhanced Collaborative LLM Agents for Drug Discovery—0
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