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Retrieval-augmented Generation

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Showing 1451–1475 of 2196 papers

TitleStatusHype
THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language ModelsCode0
SuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as Autonomous Programmer—0
Unveiling and Mitigating Bias in Large Language Model Recommendations: A Path to Fairness—0
Lab-AI: Using Retrieval Augmentation to Enhance Language Models for Personalized Lab Test Interpretation in Clinical Medicine—0
Trustworthiness in Retrieval-Augmented Generation Systems: A SurveyCode1
SFR-RAG: Towards Contextually Faithful LLMs—0
Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports—0
Block-Attention for Efficient RAGCode1
Hacking, The Lazy Way: LLM Augmented Pentesting—0
Language Models "Grok" to Copy—0
LA-RAG:Enhancing LLM-based ASR Accuracy with Retrieval-Augmented Generation—0
Exploring Information Retrieval Landscapes: An Investigation of a Novel Evaluation Techniques and Comparative Document Splitting MethodsCode0
A RAG Approach for Generating Competency Questions in Ontology Engineering—0
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift GeneralizationCode0
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains—0
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG—0
Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice—0
Bio-Eng-LMM AI Assist chatbot: A Comprehensive Tool for Research and EducationCode0
Synthetic continued pretrainingCode2
KAG: Boosting LLMs in Professional Domains via Knowledge Augmented GenerationCode9
Knowing When to Ask -- Bridging Large Language Models and Data—0
GroUSE: A Benchmark to Evaluate Evaluators in Grounded Question AnsweringCode1
Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles—0
Revisiting the Solution of Meta KDD Cup 2024: CRAGCode2
Retrieval Augmented Correction of Named Entity Speech Recognition Errors—0
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