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Retrieval-augmented Generation

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Showing 1826–1850 of 2196 papers

TitleStatusHype
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence—0
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological TextCode1
GRAG: Graph Retrieval-Augmented GenerationCode3
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions—0
Towards Unlocking Insights from Logbooks Using AI—0
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection—0
SynthAI: A Multi Agent Generative AI Framework for Automated Modular HLS Design GenerationCode1
Certifiably Robust RAG against Retrieval CorruptionCode1
Hybrid Context Retrieval Augmented Generation Pipeline: LLM-Augmented Knowledge Graphs and Vector Database for Accreditation Reporting AssistanceCode0
Large Language Models Reflect Human Citation Patterns with a Heightened Citation BiasCode0
RE-Adapt: Reverse Engineered Adaptation of Large Language Models—0
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings—0
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsCode7
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge—0
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality ModelsCode1
TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language ModelsCode0
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research—0
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One TokenCode2
RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical TextsCode0
The 2nd FutureDial Challenge: Dialog Systems with Retrieval Augmented Generation (FutureDial-RAG)Code1
Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities—0
Can Github issues be solved with Tree Of Thoughts?Code0
Question-Based Retrieval using Atomic Units for Enterprise RAG—0
KG-RAG: Bridging the Gap Between Knowledge and Creativity—0
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