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Retrieval-augmented Generation

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Showing 1851–1875 of 2196 papers

TitleStatusHype
Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis—0
Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization—0
FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language ModelsCode0
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM GenerationCode0
Towards Retrieval Augmented Generation over Large Video Libraries—0
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG SystemsCode0
Integrating Knowledge Retrieval and Large Language Models for Clinical Report Correction—0
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs—0
Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback—0
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering—0
TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization—0
QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMsCode0
Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks—0
DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented GenerationCode0
SEC-QA: A Systematic Evaluation Corpus for Financial QA—0
StackRAG Agent: Improving Developer Answers with Retrieval-Augmented GenerationCode0
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation—0
Improving Zero-shot LLM Re-Ranker with Risk Minimization—0
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia—0
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented GenerationCode0
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering—0
Think-then-Act: A Dual-Angle Evaluated Retrieval-Augmented Generation—0
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries—0
RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation—0
Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text Understanding—0
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