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Retrieval-augmented Generation

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Showing 651–675 of 2196 papers

TitleStatusHype
CS-PaperSum: A Large-Scale Dataset of AI-Generated Summaries for Scientific Papers—0
Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice—0
Bisecting K-Means in RAG for Enhancing Question-Answering Tasks Performance in Telecommunications—0
LLM-driven Effective Knowledge Tracing by Integrating Dual-channel Difficulty—0
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language ModelsCode1
Long-Context Inference with Retrieval-Augmented Speculative DecodingCode1
Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix FactorizationCode1
From Retrieval to Generation: Comparing Different Approaches—0
OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language ModelsCode2
END: Early Noise Dropping for Efficient and Effective Context Denoising—0
Agentic Mixture-of-Workflows for Multi-Modal Chemical Search—0
Agent-centric Information Access—0
Talking like Piping and Instrumentation Diagrams (P&IDs)—0
Trustworthy Answers, Messier Data: Bridging the Gap in Low-Resource Retrieval-Augmented Generation for Domain Expert Systems—0
Automated Code Generation and Validation for Software Components of Microcontrollers—0
Kanana: Compute-efficient Bilingual Language Models—0
Leveraging Retrieval-Augmented Generation and Large Language Models to Predict SERCA-Binding Protein Fragments from Cardiac Proteomics Data—0
MEBench: Benchmarking Large Language Models for Cross-Document Multi-Entity Question Answering—0
Efficient Federated Search for Retrieval-Augmented Generation—0
Retrieval Augmented Anomaly Detection (RAAD): Nimble Model Adjustment Without Retraining—0
Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems—0
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning AgentsCode4
Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning—0
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented SearchersCode2
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-ThoughtsCode2
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