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Evaluating Zero-Shot Long-Context LLM Compression by Wang, Chenyu; Wang, Yihan; Li, Kai is a scholarly article available to read on EtoBox.

What is Evaluating Zero-Shot Long-Context LLM Compression about?

This study evaluates the effectiveness of zero-shot compression techniques on large language models (LLMs) under long-context. We identify the tendency for computational errors to increase under long-context when employing certain compression methods. We propose a hypothesis to explain the varied behavior of different LLM compression techniques and explore remedies to mitigate the performance decline observed in some techniques under long-context. This is a course report for COS 598D Machine Learning and Systems by Prof. Kai Li at Princeton University. Due to limited computational resources, our experiments were conducted only on LLaMA-2-7B-32K.

Author
Wang, Chenyu; Wang, Yihan; Li, Kai
Published
2024
Language
EN

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