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Retrieval-augmented Generation

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Showing 1051–1100 of 2196 papers

TitleStatusHype
Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning ModelsCode0
R^3Mem: Bridging Memory Retention and Retrieval via Reversible Compression—0
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning—0
Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device—0
Cross-Format Retrieval-Augmented Generation in XR with LLMs for Context-Aware Maintenance Assistance—0
From Documents to Dialogue: Building KG-RAG Enhanced AI Assistants—0
PaperHelper: Knowledge-Based LLM QA Paper Reading Assistant—0
Is Relevance Propagated from Retriever to Generator in RAG?—0
FIND: Fine-grained Information Density Guided Adaptive Retrieval-Augmented Generation for Disease Diagnosis—0
WavRAG: Audio-Integrated Retrieval Augmented Generation for Spoken Dialogue Models—0
EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts—0
A Socratic RAG Approach to Connect Natural Language Queries on Research Topics with Knowledge Organization Systems—0
Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation FrameworkCode0
KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding—0
Fact or Guesswork? Evaluating Large Language Model's Medical Knowledge with Structured One-Hop Judgment—0
On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation SystemsCode0
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach—0
Towards Geo-Culturally Grounded LLM Generations—0
Are Large Language Models In-Context Graph Learners?—0
RAG-Gym: Optimizing Reasoning and Search Agents with Process Supervision—0
DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue—0
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering—0
Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation—0
Personalized Education with Generative AI and Digital Twins: VR, RAG, and Zero-Shot Sentiment Analysis for Industry 4.0 Workforce Development—0
Language Models are Few-Shot Graders—0
Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation—0
SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?—0
RAPID: Retrieval Augmented Training of Differentially Private Diffusion ModelsCode0
HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation—0
Retrieval-augmented systems can be dangerous medical communicators—0
Towards an automated workflow in materials science for combining multi-modal simulative and experimental information using data mining and large language models—0
Does RAG Really Perform Bad For Long-Context Processing?—0
Multi-Modal Retrieval Augmentation for Open-Ended and Knowledge-Intensive Video Question Answering—0
Cognitive-Aligned Document Selection for Retrieval-augmented Generation—0
Exploring Large Language Models in Healthcare: Insights into Corpora Sources, Customization Strategies, and Evaluation Metrics—0
RAG vs. GraphRAG: A Systematic Evaluation and Key Insights—0
FaMTEB: Massive Text Embedding Benchmark in Persian Language—0
REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark—0
Fast or Better? Balancing Accuracy and Cost in Retrieval-Augmented Generation with Flexible User ControlCode0
REVERSUM: A Multi-staged Retrieval-Augmented Generation Method to Enhance Wikipedia Tail Biographies through Personal NarrativesCode0
FineFilter: A Fine-grained Noise Filtering Mechanism for Retrieval-Augmented Large Language Models—0
SmartLLM: Smart Contract Auditing using Custom Generative AI—0
Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs?—0
IterQR: An Iterative Framework for LLM-based Query Rewrite in e-Commercial Search System—0
MultiTEND: A Multilingual Benchmark for Natural Language to NoSQL Query Translation—0
CacheFocus: Dynamic Cache Re-Positioning for Efficient Retrieval-Augmented Generation—0
Unlocking the Potential of Generative AI through Neuro-Symbolic Architectures: Benefits and Limitations—0
Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs—0
RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization—0
Bridging the Gap: Enabling Natural Language Queries for NoSQL Databases through Text-to-NoSQL Translation—0
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