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retrieved-augmented-generation

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This is the official repository contains the code, data, and models of the paper titled "XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags", accepted for publication in Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL’24).

  • Updated Aug 16, 2024

RAG for Competitive Programming (rag_4_cpr) is a Retrieval-Augmented Generation (RAG) system designed to assist with solving competitive programming problems efficiently. The project aims to combine retrieval-based techniques with advanced LLM reasoning to deliver optimal solutions.

  • Updated Dec 22, 2024
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