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Lihi Shalmon

1 accepted papers

2025

More Documents, Same Length: Isolating the Challenge of Multiple Documents in RAG

EMNLP 2025

Retrieval-Augmented Generation (RAG) enhances the accuracy of Large Language Model (LLM) responses by leveraging relevant external documents during generation. Although previous studies noted that retrieving many documents can degrade performance, they did not isolate how the quantity of documents a