AINeutralarXiv – CS AI · 7h ago6/10
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Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking
Researchers propose AdaRankLLM, an adaptive retrieval-augmented generation framework that dynamically filters irrelevant passages to reduce computational overhead while maintaining output quality. The study challenges whether adaptive retrieval remains necessary as language models grow more robust, finding that its value differs significantly between weaker and stronger models.