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Retrieval-augmented Generation

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Showing 2101–2125 of 2196 papers

TitleStatusHype
Context-aware Decoding Reduces Hallucination in Query-focused SummarizationCode1
Experimenting with Large Language Models and vector embeddings in NASA SciX—0
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios—0
"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented GenerationCode1
Retrieval-Augmented Generation for Large Language Models: A SurveyCode4
Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI)Code1
RIGHT: Retrieval-augmented Generation for Mainstream Hashtag RecommendationCode1
GEAR-Up: Generative AI and External Knowledge-based Retrieval Upgrading Scholarly Article Searches for Systematic Reviews—0
Dynamic Retrieval-Augmented Generation—0
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge GapsCode0
SGLang: Efficient Execution of Structured Language Model ProgramsCode6
Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping—0
DevBots can co-design APIs—0
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs—0
Context Tuning for Retrieval Augmented Generation—0
PaperQA: Retrieval-Augmented Generative Agent for Scientific Research—0
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with FakepediaCode0
IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions—0
Biomedical knowledge graph-optimized prompt generation for large language modelsCode2
How to Build an AI Tutor That Can Adapt to Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)—0
SenTest: Evaluating Robustness of Sentence Encoders—0
Novel Preprocessing Technique for Data Embedding in Engineering Code Generation Using Large Language Model—0
Minimizing Factual Inconsistency and Hallucination in Large Language Models—0
AlignedCoT: Prompting Large Language Models via Native-Speaking DemonstrationsCode0
Don't forget private retrieval: distributed private similarity search for large language models—0
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