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Retrieval-augmented Generation

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Showing 1951–1975 of 2196 papers

TitleStatusHype
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research—0
Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities—0
RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical TextsCode0
Question-Based Retrieval using Atomic Units for Enterprise RAG—0
KG-RAG: Bridging the Gap Between Knowledge and Creativity—0
Can Github issues be solved with Tree Of Thoughts?Code0
Can Public LLMs be used for Self-Diagnosis of Medical Conditions ?—0
Mitigating Interpretation Bias in Rock Records with Large Language Models: Insights from Paleoenvironmental Analysis—0
FinTextQA: A Dataset for Long-form Financial Question Answering—0
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues—0
Exploring the Potential of Large Language Models for Automation in Technical Customer Service—0
From Questions to Insightful Answers: Building an Informed Chatbot for University Resources—0
Control Token with Dense Passage Retrieval—0
DuetRAG: Collaborative Retrieval-Augmented Generation—0
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models—0
Artificial Intelligence as the New Hacker: Developing Agents for Offensive Security—0
Can large language models understand uncommon meanings of common words?—0
Evaluating Students' Open-ended Written Responses with LLMs: Using the RAG Framework for GPT-3.5, GPT-4, Claude-3, and Mistral-Large—0
Automated Conversion of Static to Dynamic Scheduler via Natural Language—0
Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures—0
ERATTA: Extreme RAG for Table To Answers with Large Language Models—0
ChatHuman: Language-driven 3D Human Understanding with Retrieval-Augmented Tool Reasoning—0
Self-Improving Customer Review Response Generation Based on LLMs—0
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation—0
Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation—0
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