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Retrieval-augmented Generation

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Showing 751–800 of 2196 papers

TitleStatusHype
Document Retrieval Augmented Fine-Tuning (DRAFT) for safety-critical software assessments—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
Patchwork: A Unified Framework for RAG Serving—0
HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection—0
Traceback of Poisoning Attacks to Retrieval-Augmented Generation—0
Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging—0
Optimization of embeddings storage for RAG systems using quantization and dimensionality reduction techniques—0
Memorization and Knowledge Injection in Gated LLMsCode0
Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QACode0
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
Information Retrieval in the Age of Generative AI: The RGB ModelCode0
Graph RAG for Legal Norms: A Hierarchical and Temporal Approach—0
AKIBoards: A Structure-Following Multiagent System for Predicting Acute Kidney Injury—0
Detecting Manipulated Contents Using Knowledge-Grounded InferenceCode0
Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented GenerationCode0
Chatbot Arena Meets Nuggets: Towards Explanations and Diagnostics in the Evaluation of LLM Responses—0
OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis—0
Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets—0
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
FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation—0
CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation Correction—0
The Viability of Crowdsourcing for RAG EvaluationCode0
Synergizing RAG and Reasoning: A Systematic Review—0
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 Models—0
POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications—0
Support Evaluation for the TREC 2024 RAG Track: Comparing Human versus LLM Judges—0
Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation—0
Efficient Document Retrieval with G-RetrieverCode0
LLMs as Data Annotators: How Close Are We to Human Performance—0
FinSage: A Multi-aspect RAG System for Financial Filings Question Answering—0
Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective IntelligenceCode0
ResNetVLLM-2: Addressing ResNetVLLM's Multi-Modal Hallucinations—0
LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval—0
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models—0
SCRAG: Social Computing-Based Retrieval Augmented Generation for Community Response Forecasting in Social Media Environments—0
Secure Multifaceted-RAG for Enterprise: Hybrid Knowledge Retrieval with Security Filtering—0
Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation—0
RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines—0
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild—0
InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning—0
Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval and haystacksCode0
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep ClassificationCode0
ACoRN: Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models—0
A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance JudgmentCode0
Towards Conversational AI for Human-Machine Collaborative MLOps—0
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