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Retrieval-augmented Generation

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Showing 2101–2150 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
Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis—0
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation SystemsCode2
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and RectificationCode0
Learning to Filter Context for Retrieval-Augmented GenerationCode2
A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question AnsweringCode1
Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking—0
Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Users—0
Large Language Models and Prompt Engineering for Biomedical Query Focused Multi-Document Summarisation—0
Enhancing LLM Intelligence with ARM-RAG: Auxiliary Rationale Memory for Retrieval Augmented Generation—0
AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMsCode0
FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLM—0
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval—0
DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuningCode2
Chainpoll: A high efficacy method for LLM hallucination detectionCode0
FABULA: Intelligence Report Generation Using Retrieval-Augmented Narrative Construction—0
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionCode4
Towards reducing hallucination in extracting information from financial reports using Large Language Models—0
MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities—0
CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering—0
Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language ModelCode1
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language ModelsCode1
GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models—0
Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language ModelsCode1
LLM4VV: Developing LLM-Driven Testsuite for Compiler ValidationCode0
Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human PreferenceCode1
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