Self-Improvement of Large Language Models: A Technical Overview and Future Outlook
A system-level perspective on self-improving language models is presented and a unified framework that organizes existing techniques is introduced that organizes existing techniques and outlines the vision for future research toward fully self-improving LLMs.
Haoyan Yang, Mario Xerri, Solha Park et al.
· arXiv.org · 6 citations
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