Probing the Pitfalls: Understanding SVD’s Shortcomings in Language Model Compression

Background: Modern computational linguistics heavily relies on large language models that demonstrate strong performance in various Natural Language Inference (NLI) tasks. These models, however, require substantial computational resources for both training and deployment. To address this challenge,...

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Bibliographic Details
Main Author: Сергей Александрович Плетенев
Format: Article
Language:English
Published: National Research University Higher School of Economics 2024-12-01
Series:Journal of Language and Education
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Online Access:https://jle.hse.ru/article/view/22368
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