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Retrieval-augmented Generation

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TitleStatusHype
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation—0
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on GraphsCode2
G-DexGrasp: Generalizable Dexterous Grasping Synthesis Via Part-Aware Prior Retrieval and Prior-Assisted Generation—0
GridMind: A Multi-Agent NLP Framework for Unified, Cross-Modal NFL Data Insights—0
Improving RAG for Personalization with Author Features and Contrastive ExamplesCode0
Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models—0
ModiGen: A Large Language Model-Based Workflow for Multi-Task Modelica Code Generation—0
Fact-checking AI-generated news reports: Can LLMs catch their own lies?—0
ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM Responses—0
MedPlan:A Two-Stage RAG-Based System for Personalized Medical Plan Generation—0
Retrieval Augmented Generation and Understanding in Vision: A Survey and New OutlookCode3
GINGER: Grounded Information Nugget-Based Generation of ResponsesCode0
Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QACode0
An LLM-Powered Clinical Calculator Chatbot Backed by Verifiable Clinical Calculators and their Metadata—0
Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent—0
RustEvo^2: An Evolving Benchmark for API Evolution in LLM-based Rust Code GenerationCode0
Financial Analysis: Intelligent Financial Data Analysis System Based on LLM-RAG—0
FutureGen: LLM-RAG Approach to Generate the Future Work of Scientific ArticleCode0
Typed-RAG: Type-aware Multi-Aspect Decomposition for Non-Factoid Question AnsweringCode0
Tuning LLMs by RAG Principles: Towards LLM-native MemoryCode1
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language ModelsCode1
Towards Lighter and Robust Evaluation for Retrieval Augmented GenerationCode0
Graph-Based Re-ranking: Emerging Techniques, Limitations, and Opportunities—0
Enhancing Pancreatic Cancer Staging with Large Language Models: The Role of Retrieval-Augmented Generation—0
Optimizing Retrieval Strategies for Financial Question Answering Documents in Retrieval-Augmented Generation SystemsCode1
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