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LLM-EDT

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LLM-EDT is a dual-phase training framework for cross-domain sequential recommendation, developed by researchers to improve recommendation accuracy by up to 12.4% over existing methods.

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+0.60Sentiment (Very Positive)
0.0%Velocity (7d)
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First seen: May 18, 2026Last active: May 18, 2026

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  1. Research MilestoneMay 18, 2026

    LLM-EDT improves cross-domain sequential recommendation by up to 12.4%

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  2. Research MilestoneMay 15, 2026

    Paper updated on arXiv (v2) for LLM-EDT dual-phase training framework

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