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Retrieval-augmented Generation

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Showing 1676–1700 of 2196 papers

TitleStatusHype
Vietnamese Legal Information Retrieval in Question-Answering System—0
GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding—0
RAG based Question-Answering for Contextual Response Prediction System—0
MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering—0
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering—0
Creating a Gen-AI based Track and Trace Assistant MVP (SuperTracy) for PostNL—0
MoA is All You Need: Building LLM Research Team using Mixture of Agents—0
GenDFIR: Advancing Cyber Incident Timeline Analysis Through Retrieval Augmented Generation and Large Language Models—0
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical StudyCode0
You Only Use Reactive Attention Slice For Long Context RetrievalCode0
The Role of Large Language Models in Musicology: Are We Ready to Trust the Machines?—0
Benchmarking Cognitive Domains for LLMs: Insights from Taiwanese Hakka Culture—0
In Defense of RAG in the Era of Long-Context Language Models—0
A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine—0
GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems—0
OrthoDoc: Multimodal Large Language Model for Assisting Diagnosis in Computed Tomography—0
RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance—0
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications—0
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillation—0
Measuring text summarization factuality using atomic facts entailment metrics in the context of retrieval augmented generation—0
Claim Verification in the Age of Large Language Models: A Survey—0
Probing Causality Manipulation of Large Language Models—0
Retrieval Augmented Generation for Dynamic Graph Modeling—0
Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models—0
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—0
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