Training Large Language Models to Follow System Prompt with Self-Supervised Fine-tuning
Author:
Affiliation:
1. University of Chinese Academy of Sciences,Institute of Automation, Chinese Academy of Sciences,Beijing,China
2. Chinese Academy of Sciences,Institute of Automation,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651145.pdf?arnumber=10651145
Reference25 articles.
1. Finetuned language models are zero-shot learners;Wei
2. Self-Instruct: Aligning Language Models with Self-Generated Instructions
3. Scaling instruction-finetuned language models;Chung,2022
4. Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
5. Building a Personalized Dialogue System with Prompt-Tuning
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