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Retrieval-augmented Generation

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TitleStatusHype
Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness—0
Bridging Industrial Expertise and XR with LLM-Powered Conversational Agents—0
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG—0
AI for Climate Finance: Agentic Retrieval and Multi-Step Reasoning for Early Warning System Investments—0
Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification—0
Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications—0
QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors—0
Large Language Model-Based Knowledge Graph System Construction for Sustainable Development Goals: An AI-Based Speculative Design Perspective—0
UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training—0
Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task—0
Talk2X -- An Open-Source Toolkit Facilitating Deployment of LLM-Powered Chatbots on the WebCode0
Generative AI Enhanced Financial Risk Management Information RetrievalCode0
Practical Poisoning Attacks against Retrieval-Augmented Generation—0
NAACL2025 Tutorial: Adaptation of Large Language Models—0
HyperRAG: Enhancing Quality-Efficiency Tradeoffs in Retrieval-Augmented Generation with Reranker KV-Cache Reuse—0
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation—0
Do "New Snow Tablets" Contain Snow? Large Language Models Over-Rely on Names to Identify Ingredients of Chinese DrugsCode0
Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation—0
CoRAG: Collaborative Retrieval-Augmented Generation—0
OnRL-RAG: Real-Time Personalized Mental Health Dialogue System—0
From Code Generation to Software Testing: AI Copilot with Context-Based RAG—0
PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood EstimationCode0
GeoRAG: A Question-Answering Approach from a Geographical Perspective—0
One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image—0
Biomedical Question Answering via Multi-Level Summarization on a Local Knowledge Graph—0
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