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Retrieval-augmented Generation

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Showing 751–775 of 2196 papers

TitleStatusHype
Document Retrieval Augmented Fine-Tuning (DRAFT) for safety-critical software assessments—0
Patchwork: A Unified Framework for RAG Serving—0
HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection—0
EnronQA: Towards Personalized RAG over Private Documents—0
Empowering Agentic Video Analytics Systems with Video Language Models—0
A Multi-Granularity Retrieval Framework for Visually-Rich Documents—0
Traceback of Poisoning Attacks to Retrieval-Augmented Generation—0
Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QACode0
Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging—0
Memorization and Knowledge Injection in Gated LLMsCode0
Optimization of embeddings storage for RAG systems using quantization and dimensionality reduction techniques—0
Information Retrieval in the Age of Generative AI: The RGB ModelCode0
Graph RAG for Legal Norms: A Hierarchical and Temporal Approach—0
ARCS: Agentic Retrieval-Augmented Code Synthesis with Iterative Refinement—0
CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck ModelsCode0
AKIBoards: A Structure-Following Multiagent System for Predicting Acute Kidney Injury—0
Detecting Manipulated Contents Using Knowledge-Grounded InferenceCode0
Chatbot Arena Meets Nuggets: Towards Explanations and Diagnostics in the Evaluation of LLM Responses—0
Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets—0
OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis—0
Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented GenerationCode0
LLMpatronous: Harnessing the Power of LLMs For Vulnerability Detection—0
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models—0
CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation Correction—0
The Viability of Crowdsourcing for RAG EvaluationCode0
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