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Retrieval-augmented Generation

Papers

Showing 351375 of 2196 papers

TitleStatusHype
CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck ModelsCode0
UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and GranularitiesCode2
Mem0: Building Production-Ready AI Agents with Scalable Long-Term MemoryCode16
OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis0
Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets0
Chatbot Arena Meets Nuggets: Towards Explanations and Diagnostics in the Evaluation of LLM Responses0
Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented GenerationCode0
TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question AnsweringCode1
Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented GenerationCode1
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models0
LLMpatronous: Harnessing the Power of LLMs For Vulnerability Detection0
A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and AdaptationCode1
Synergizing RAG and Reasoning: A Systematic Review0
FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation0
The Viability of Crowdsourcing for RAG EvaluationCode0
CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation Correction0
A LoRA-Based Approach to Fine-Tuning LLMs for Educational Guidance in Resource-Constrained SettingsCode0
The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models0
Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation0
POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications0
Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive SurveyCode2
Efficient Document Retrieval with G-RetrieverCode0
LLMs as Data Annotators: How Close Are We to Human Performance0
Support Evaluation for the TREC 2024 RAG Track: Comparing Human versus LLM Judges0
AlignRAG: Leveraging Critique Learning for Evidence-Sensitive Retrieval-Augmented ReasoningCode1
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