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Aug, 2023
大型语言模型对指令的稳健性评估
Evaluating the Robustness to Instructions of Large Language Models
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Yuansheng Ni, Sichao Jiang, Xinyu wu, Hui Shen, Yuli Zhou
TL;DR
指令微调方法能够增强大型语言模型在未知任务上的零样本功能,并对其性能和稳健性进行了评估,发现在处理陌生指令时性能显著下降,而对于关系抽取指令的稳健性较问答指令更差。
Abstract
Recently,
instruction fine-tuning
has risen to prominence as a potential method for enhancing the
zero-shot capabilities
of
large language models
→