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2025 ICML ICML 2025

Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Tianyi Zhang, Junda Su, Aditya Desai, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava

Topics

Machine Learning > Core Methods > Representation Learning Machine Learning > Application Areas > Efficient Computing Artificial Intelligence > Core AI > Large Language Models

Keywords

matrix sketching parameter-efficient fine-tuning sketching compressive adaptation fine-tunable sketches llm adaptation
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