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Retrieval-augmented Generation

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Showing 2076–2100 of 2196 papers

TitleStatusHype
ChatQA: Surpassing GPT-4 on Conversational QA and RAG—0
BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs—0
Code-Based English Models Surprising Performance on Chinese QA Pair Extraction Task—0
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture—0
Graph database while computationally efficient filters out quickly the ESG integrated equities in investment management—0
Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization—0
The Chronicles of RAG: The Retriever, the Chunk and the Generator—0
Bridging the Preference Gap between Retrievers and LLMs—0
Reinforcement Learning for Optimizing RAG for Domain Chatbots—0
Natural Language Programming in Medicine: Administering Evidence Based Clinical Workflows with Autonomous Agents Powered by Generative Large Language Models—0
Beyond Extraction: Contextualising Tabular Data for Efficient Summarisation by Language Models—0
Concurrent Brainstorming & Hypothesis Satisfying: An Iterative Framework for Enhanced Retrieval-Augmented Generation (R2CBR3H-SR)Code0
Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation—0
Enhancing Multilingual Information Retrieval in Mixed Human Resources Environments: A RAG Model Implementation for Multicultural Enterprise—0
A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language ModelsCode0
Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods—0
A Reliable Knowledge Processing Framework for Combustion Science using Foundation Models—0
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCode2
Advancing TTP Analysis: Harnessing the Power of Large Language Models with Retrieval Augmented GenerationCode1
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation—0
HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs ResponsesCode1
ESGReveal: An LLM-based approach for extracting structured data from ESG reports—0
Privacy-Preserved Neural Graph DatabasesCode0
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLPCode0
Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion—0
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