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Retrieval-augmented Generation

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Showing 1776–1800 of 2196 papers

TitleStatusHype
PennyLang: Pioneering LLM-Based Quantum Code Generation with a Novel PennyLane-Centric Dataset—0
PERC: Plan-As-Query Example Retrieval for Underrepresented Code Generation—0
WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain—0
PersianRAG: A Retrieval-Augmented Generation System for Persian Language—0
PersonaAI: Leveraging Retrieval-Augmented Generation and Personalized Context for AI-Driven Digital Avatars—0
Personalization Toolkit: Training Free Personalization of Large Vision Language Models—0
Personalized Education with Generative AI and Digital Twins: VR, RAG, and Zero-Shot Sentiment Analysis for Industry 4.0 Workforce Development—0
Personalized Text Generation with Contrastive Activation Steering—0
Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval Augmented Generation (RAG)—0
Phantom: General Trigger Attacks on Retrieval Augmented Language Generation—0
PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design—0
Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases—0
PISCO: Pretty Simple Compression for Retrieval-Augmented Generation—0
Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback—0
PlanRAG: Planning-guided Retrieval Augmented Generation—0
Plan with Code: Comparing approaches for robust NL to DSL generation—0
Poisoned LangChain: Jailbreak LLMs by LangChain—0
Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation—0
Political Events using RAG with LLMs—0
POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications—0
Poly-Vector Retrieval: Reference and Content Embeddings for Legal Documents—0
Position Engineering: Boosting Large Language Models through Positional Information Manipulation—0
Position: Towards a Responsible LLM-empowered Multi-Agent Systems—0
Post-training an LLM for RAG? Train on Self-Generated Demonstrations—0
Practical Poisoning Attacks against Retrieval-Augmented Generation—0
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