Large language models (LLMs) are evolving to excel in challenging tasks such as text generation, mathematical reasoning, code generation, question answering, text summarization, etc. However, the ...

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However, RAG fails on global questions directed at an entire text corpus, such as “What are the main themes in the dataset?”, since this is inherently a query-focused summarization (QFS) task, rather ...

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🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval ...