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Retrieval-augmented Generation

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Showing 1851–1900 of 2196 papers

TitleStatusHype
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
Control Token with Dense Passage Retrieval—0
From Questions to Insightful Answers: Building an Informed Chatbot for University Resources—0
Evaluation of Retrieval-Augmented Generation: A SurveyCode2
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
Automated Conversion of Static to Dynamic Scheduler via Natural Language—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
ChatHuman: Language-driven 3D Human Understanding with Retrieval-Augmented Tool Reasoning—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
ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and PersonalizationCode1
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
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization—0
CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation—0
Attribution in Scientific Literature: New Benchmark and Methods—0
Overcoming LLM Challenges using RAG-Driven Precision in Coffee Leaf Disease Remediation—0
GAIA: A General AI Assistant for Intelligent Accelerator Operations—0
Fine-Tuning and Retrieval Augmented Generation for Question Answering Using Affordable Large Language ModelsCode0
CourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Education—0
BiomedRAG: A Retrieval Augmented Large Language Model for BiomedicineCode1
RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models—0
Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language ModelsCode0
GRAMMAR: Grounded and Modular Methodology for Assessment of Closed-Domain Retrieval-Augmented Language ModelCode0
PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification—0
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language ProcessingCode3
ECC Analyzer: Extract Trading Signal from Earnings Conference Calls using Large Language Model for Stock Performance Prediction—0
Generative AI for Low-Carbon Artificial Intelligence of Things with Large Language Models—0
Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models—0
Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering—0
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications—0
Understanding Privacy Risks of Embeddings Induced by Large Language Models—0
Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for TelecommunicationsCode2
Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant—0
Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real DocumentsCode1
From Local to Global: A Graph RAG Approach to Query-Focused SummarizationCode14
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs—0
Retrieval Augmented Generation for Domain-specific Question Answering—0
Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level PerturbationsCode0
LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented GenerationCode1
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question AnsweringCode0
Retrieval-Augmented Audio Deepfake Detection—0
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