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Retrieval-augmented Generation

Papers

Showing 751775 of 2196 papers

TitleStatusHype
From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language QueriesCode0
AIC CTU system at AVeriTeC: Re-framing automated fact-checking as a simple RAG taskCode0
DYNAMICQA: Tracing Internal Knowledge Conflicts in Language ModelsCode0
CyberMentor: AI Powered Learning Tool Platform to Address Diverse Student Needs in Cybersecurity EducationCode0
FormulaReasoning: A Dataset for Formula-Based Numerical ReasoningCode0
QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMsCode0
Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry ChallengesCode0
Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented GenerationCode0
ForPKG: A Framework for Constructing Forestry Policy Knowledge Graph and Application AnalysisCode0
Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QACode0
From MTEB to MTOB: Retrieval-Augmented Classification for Descriptive GrammarsCode0
Geo-FuB: A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language ModelsCode0
Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production ChallengesCode0
Fine-Tuning and Retrieval Augmented Generation for Question Answering Using Affordable Large Language ModelsCode0
FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAGCode0
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and RectificationCode0
Financial Report Chunking for Effective Retrieval Augmented GenerationCode0
Fine Tuning vs. Retrieval Augmented Generation for Less Popular KnowledgeCode0
Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image GenerationCode0
Fast or Better? Balancing Accuracy and Cost in Retrieval-Augmented Generation with Flexible User ControlCode0
Attention Sorting Combats Recency Bias In Long Context Language ModelsCode0
FaaF: Facts as a Function for the evaluation of generated textCode0
Face the Facts! Evaluating RAG-based Fact-checking Pipelines in Realistic SettingsCode0
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAGCode0
Exploring Retrieval Augmented Generation in ArabicCode0
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