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Retrieval-augmented Generation

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TitleStatusHype
Evaluation of Retrieval-Augmented Generation: A SurveyCode2
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question AnsweringCode2
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric AgentsCode2
PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision MakersCode2
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
QAEncoder: Towards Aligned Representation Learning in Question Answering SystemCode2
OntoAligner: A Comprehensive Modular and Robust Python Toolkit for Ontology AlignmentCode2
EVOR: Evolving Retrieval for Code GenerationCode2
OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language ModelsCode2
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented GenerationCode2
DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuningCode2
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language ModelsCode2
CtrlA: Adaptive Retrieval-Augmented Generation via Inherent ControlCode2
CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity KnowledgeCode2
Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challengeCode2
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation GenerationCode2
Datrics Text2SQL. A Framework for Natural Language to SQL Query GenerationCode2
DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language ModelsCode2
NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLMCode2
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial DomainCode2
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCode2
CodeRAG-Bench: Can Retrieval Augment Code Generation?Code2
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to RefuseCode2
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation SystemsCode2
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree SearchCode2
LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge GraphsCode2
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document RerankingCode2
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question AnsweringCode2
LitLLM: A Toolkit for Scientific Literature ReviewCode2
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on GraphsCode2
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor SearchCode2
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax TreeCode2
Active Retrieval Augmented GenerationCode2
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented SearchersCode2
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing CorporaCode2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal DomainCode2
ActiveRAG: Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented AgentsCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based RetrieversCode2
Granite GuardianCode2
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Code2
Biomedical knowledge graph-optimized prompt generation for large language modelsCode2
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-FeedbackCode2
Language Model Powered Digital Biology with BRADCode2
LARGE: Legal Retrieval Augmented Generation Evaluation ToolCode2
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