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language model work part2

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How Language Models work part2(Artificial Intelligence)

#artificialintelligenceOct-21-2022, 06:36:01 GMT

Abstract: Pre-trained language models (LMs), such as BERT (Devlin et al., 2018) and its variants, have led to significant improvements on various NLP tasks in past years. However, a theoretical framework for studying their relationships is still missing. In this paper, we fill this gap by investigating the linear dependency between pre-trained LMs. The linear dependency of LMs is defined analogously to the linear dependency of vectors. We propose Language Model Decomposition (LMD) to represent a LM using a linear combination of other LMs as basis, and derive the closed-form solution.

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Technology: Information Technology > Artificial Intelligence > Natural Language (1.00)

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