IDIOMoE introduces a mixture-of-experts architecture that processes item interaction histories as a distinct dialect in pretrained LLMs to improve recommendation accuracy without harming text understanding.
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Catalog-Native LLM: Speaking Item-ID Dialect with Less Entanglement for Recommendation
IDIOMoE introduces a mixture-of-experts architecture that processes item interaction histories as a distinct dialect in pretrained LLMs to improve recommendation accuracy without harming text understanding.