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Retrieval-augmented Generation

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Showing 1551–1575 of 2196 papers

TitleStatusHype
Rag and Roll: An End-to-End Evaluation of Indirect Prompt Manipulations in LLM-based Application Frameworks—0
Retrieval-augmented code completion for local projects using large language models—0
A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning—0
Hybrid Student-Teacher Large Language Model Refinement for Cancer Toxicity Symptom Extraction—0
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented GenerationCode4
Towards Explainable Network Intrusion Detection using Large Language Models—0
VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMsCode1
Large Language Model as a Catalyst: A Paradigm Shift in Base Station Siting Optimization—0
Generative Language Models with Retrieval Augmented Generation for Automated Short Answer Scoring—0
LLM-based MOFs Synthesis Condition Extraction using Few-Shot Demonstrations—0
A Real-Time Adaptive Multi-Stream GPU System for Online Approximate Nearest Neighborhood Search—0
OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational AgentsCode1
KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models—0
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for MedicineCode3
LLM Agents Improve Semantic Code Search—0
Wiping out the limitations of Large Language Models -- A Taxonomy for Retrieval Augmented Generation—0
Development of REGAI: Rubric Enabled Generative Artificial Intelligence—0
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for PharmacovigilanceCode1
Evaluating the Impact of Advanced LLM Techniques on AI-Lecture Tutors for a Robotics Course—0
LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language ModelsCode1
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts—0
DebateQA: Evaluating Question Answering on Debatable KnowledgeCode1
RAGEval: Scenario Specific RAG Evaluation Dataset Generation FrameworkCode3
BioRAG: A RAG-LLM Framework for Biological Question Reasoning—0
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