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Retrieval-augmented Generation

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TitleStatusHype
Hacking, The Lazy Way: LLM Augmented Pentesting—0
Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation—0
Hakim: Farsi Text Embedding Model—0
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools—0
Hallucinations and Truth: A Comprehensive Accuracy Evaluation of RAG, LoRA and DoRA—0
HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection—0
A Survey on Knowledge-Oriented Retrieval-Augmented Generation—0
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems—0
Battling Botpoop using GenAI for Higher Education: A Study of a Retrieval Augmented Generation Chatbots Impact on Learning—0
Integrating Knowledge Retrieval and Large Language Models for Clinical Report Correction—0
Control Token with Dense Passage Retrieval—0
Conversation AI Dialog for Medicare powered by Finetuning and Retrieval Augmented Generation—0
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation—0
HDLdebugger: Streamlining HDL debugging with Large Language Models—0
A Survey on Retrieval-Augmented Text Generation—0
Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps—0
Bisecting K-Means in RAG for Enhancing Question-Answering Tasks Performance in Telecommunications—0
Health-LLM: Personalized Retrieval-Augmented Disease Prediction System—0
HEALTH-PARIKSHA: Assessing RAG Models for Health Chatbots in Real-World Multilingual Settings—0
HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations—0
HeteRAG: A Heterogeneous Retrieval-augmented Generation Framework with Decoupled Knowledge Representations—0
End-to-End Trainable Retrieval-Augmented Generation for Relation Extraction—0
End-to-End Table Question Answering via Retrieval-Augmented Generation—0
Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification—0
A Multi-Source Retrieval Question Answering Framework Based on RAG—0
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