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Retrieval-augmented Generation

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TitleStatusHype
Corrective Retrieval Augmented GenerationCode3
GRAG: Graph Retrieval-Augmented GenerationCode3
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
A Smart Multimodal Healthcare Copilot with Powerful LLM ReasoningCode3
Ai2 Scholar QA: Organized Literature Synthesis with AttributionCode3
GFM-RAG: Graph Foundation Model for Retrieval Augmented GenerationCode3
Graph Retrieval-Augmented Generation: A SurveyCode3
MMSearch-R1: Incentivizing LMMs to SearchCode3
MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation SystemCode3
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language ProcessingCode3
Retrieval Augmented Generation and Understanding in Vision: A Survey and New OutlookCode3
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
CodeRAG-Bench: Can Retrieval Augment Code Generation?Code2
MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected TrainingCode2
OntoAligner: A Comprehensive Modular and Robust Python Toolkit for Ontology AlignmentCode2
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial DomainCode2
Evaluation of Retrieval-Augmented Generation: A SurveyCode2
OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language ModelsCode2
NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLMCode2
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing CorporaCode2
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented GenerationCode2
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric AgentsCode2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language ModelsCode2
QAEncoder: Towards Aligned Representation Learning in Question Answering SystemCode2
MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation SystemsCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
Enhancing Retrieval-Augmented Generation: A Study of Best PracticesCode2
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to RefuseCode2
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree SearchCode2
LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge GraphsCode2
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax TreeCode2
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question AnsweringCode2
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Code2
MetaOpenFOAM: an LLM-based multi-agent framework for CFDCode2
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document RerankingCode2
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor SearchCode2
Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challengeCode2
Qilin: A Multimodal Information Retrieval Dataset with APP-level User SessionsCode2
LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal DomainCode2
Biomedical knowledge graph-optimized prompt generation for large language modelsCode2
Language Model Powered Digital Biology with BRADCode2
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based RetrieversCode2
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented SearchersCode2
Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial ApplicationsCode2
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