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Retrieval-augmented Generation

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Showing 101–125 of 2196 papers

TitleStatusHype
OpenResearcher: Unleashing AI for Accelerated Scientific ResearchCode3
Parametric Retrieval Augmented GenerationCode3
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented GenerationCode3
OmniThink: Expanding Knowledge Boundaries in Machine Writing through ThinkingCode3
PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational PathsCode3
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain FrameworkCode3
Multi-Head RAG: Solving Multi-Aspect Problems with LLMsCode3
MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop QueriesCode3
A Smart Multimodal Healthcare Copilot with Powerful LLM ReasoningCode3
Ai2 Scholar QA: Organized Literature Synthesis with AttributionCode3
HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge RepresentationCode3
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented GenerationCode3
Searching for Best Practices in Retrieval-Augmented GenerationCode3
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to RefuseCode2
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected TrainingCode2
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor 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
DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuningCode2
DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language ModelsCode2
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationCode2
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree SearchCode2
CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity KnowledgeCode2
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