arXiv:2404.00458
Beyond One-Size-Fits-All: Multi-Domain, Multi-Task Framework for Embedding Model Selection
원문 초록
This position paper proposes a systematic approach towards developing a framework to help select the most effective embedding models for natural language processing (NLP) tasks, addressing the challenge posed by the proliferation of both proprietary and open-source encoder models.
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토론
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