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Retrieval-augmented Generation

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TitleStatusHype
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study—0
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge—0
Unanswerability Evaluation for Retrieval Augmented Generation—0
UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation—0
Understanding and Optimizing Multi-Stage AI Inference Pipelines—0
Understanding Inequality of LLM Fact-Checking over Geographic Regions with Agent and Retrieval models—0
Understanding Privacy Risks of Embeddings Induced by Large Language Models—0
Understanding Synthetic Context Extension via Retrieval Heads—0
Underutilized land and sustainable development: effects on employment, economic output, and mitigation of CO2 emissions—0
Undesirable Memorization in Large Language Models: A Survey—0
UniAdapt: A Universal Adapter for Knowledge Calibration—0
Unified Generative and Discriminative Training for Multi-modal Large Language Models—0
Unimib Assistant: designing a student-friendly RAG-based chatbot for all their needs—0
UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems—0
UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models—0
UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training—0
Unlearning Climate Misinformation in Large Language Models—0
Unlocking Legal Knowledge with Multi-Layered Embedding-Based Retrieval—0
Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation—0
Unlocking the Potential of Generative AI through Neuro-Symbolic Architectures: Benefits and Limitations—0
Unsupervised Query Routing for Retrieval Augmented Generation—0
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs—0
Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation—0
Unveiling the Magic: Investigating Attention Distillation in Retrieval-augmented Generation—0
Unveiling the Potential of Multimodal Retrieval Augmented Generation with Planning—0
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