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Retrieval-augmented Generation

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Showing 1126–1150 of 2196 papers

TitleStatusHype
Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks—0
RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service—0
Repoformer: Selective Retrieval for Repository-Level Code Completion—0
Re-ranking the Context for Multimodal Retrieval Augmented Generation—0
Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning—0
ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search—0
ResNetVLLM-2: Addressing ResNetVLLM's Multi-Modal Hallucinations—0
Responsible Retrieval Augmented Generation for Climate Decision Making from Documents—0
Rethinking Strategic Mechanism Design In The Age Of Large Language Models: New Directions For Communication Systems—0
Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge—0
Retrieval Augmented Anomaly Detection (RAAD): Nimble Model Adjustment Without Retraining—0
Retrieval-Augmented Audio Deepfake Detection—0
Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models—0
Retrieval-augmented code completion for local projects using large language models—0
Retrieval Augmented Correction of Named Entity Speech Recognition Errors—0
Retrieval Augmented Decision-Making: A Requirements-Driven, Multi-Criteria Framework for Structured Decision Support—0
Retrieval Augmented End-to-End Spoken Dialog Models—0
Retrieval-augmented Generation across Heterogeneous Knowledge—0
Retrieval Augmented Generation-Based Incident Resolution Recommendation System for IT Support—0
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps—0
Retrieval Augmented Generation Based LLM Evaluation For Protocol State Machine Inference With Chain-of-Thought Reasoning—0
Retrieval-Augmented Generation by Evidence Retroactivity in LLMs—0
Retrieval Augmented Generation Evaluation for Health Documents—0
Retrieval Augmented Generation for Domain-specific Question Answering—0
Retrieval-Augmented Generation for Domain-Specific Question Answering: A Case Study on Pittsburgh and CMU—0
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