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Retrieval-augmented Generation

Papers

Showing 376400 of 2196 papers

TitleStatusHype
GroUSE: A Benchmark to Evaluate Evaluators in Grounded Question AnsweringCode1
Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and EvaluationCode1
NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for RetrievalCode1
The Compressor-Retriever Architecture for Language Model OSCode1
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP StandardsCode1
Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question AnsweringCode1
Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat AssistantsCode1
W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question AnsweringCode1
VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMsCode1
OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational AgentsCode1
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for PharmacovigilanceCode1
DebateQA: Evaluating Question Answering on Debatable KnowledgeCode1
LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language ModelsCode1
Visual Haystacks: A Vision-Centric Needle-In-A-Haystack BenchmarkCode1
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG SystemsCode1
CompAct: Compressing Retrieved Documents Actively for Question AnsweringCode1
Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent CommunitiesCode1
ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access NetworksCode1
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented GenerationCode1
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysisCode1
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation TrackCode1
CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis GenerationCode1
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document AnalysisCode1
R^2AG: Incorporating Retrieval Information into Retrieval Augmented GenerationCode1
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented GenerationCode1
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