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arXiv · 2404.00458

Beyond One-Size-Fits-All: Multi-Domain, Multi-Task Framework for Embedding Model Selection

Vivek Khetan
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Abstract

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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Vivek Khetan. 2024-08-30. Beyond One-Size-Fits-All: Multi-Domain, Multi-Task Framework for Embedding Model Selection. https://arxiv.org/abs/2404.00458

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