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Retrieval-augmented Generation

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TitleStatusHype
Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language ModelsCode3
GNN-RAG: Graph Neural Retrieval for Large Language Model ReasoningCode3
FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented GenerationCode3
From human experts to machines: An LLM supported approach to ontology and knowledge graph constructionCode3
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language ProcessingCode3
GRAG: Graph Retrieval-Augmented GenerationCode3
Ai2 Scholar QA: Organized Literature Synthesis with AttributionCode3
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language ModelsCode3
MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation SystemCode3
Multi-Head RAG: Solving Multi-Aspect Problems with LLMsCode3
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain FrameworkCode3
LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance PropagationCode3
syftr: Pareto-Optimal Generative AICode3
PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision MakersCode2
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph ConstructionCode2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing CorporaCode2
MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected TrainingCode2
Evaluation of Retrieval-Augmented Generation: A SurveyCode2
Enhancing Retrieval-Augmented Generation: A Study of Best PracticesCode2
OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language ModelsCode2
OntoAligner: A Comprehensive Modular and Robust Python Toolkit for Ontology AlignmentCode2
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language ModelsCode2
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric AgentsCode2
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented GenerationCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial DomainCode2
QAEncoder: Towards Aligned Representation Learning in Question Answering SystemCode2
MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation SystemsCode2
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language ModelsCode2
Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challengeCode2
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to RefuseCode2
DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuningCode2
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Code2
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree SearchCode2
Datrics Text2SQL. A Framework for Natural Language to SQL Query GenerationCode2
MetaOpenFOAM: an LLM-based multi-agent framework for CFDCode2
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLMCode2
Qilin: A Multimodal Information Retrieval Dataset with APP-level User SessionsCode2
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document RerankingCode2
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation GenerationCode2
LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge GraphsCode2
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented SearchersCode2
LitLLM: A Toolkit for Scientific Literature ReviewCode2
CtrlA: Adaptive Retrieval-Augmented Generation via Inherent ControlCode2
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationCode2
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question AnsweringCode2
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