Machine Learning Algorithms & Natural Language Processing

Apr 2, 2026 · Artificial Intelligence

How Large Language Models Can Self‑Improve: A Technical Review and Future Outlook

This article surveys the emerging self‑improvement paradigm for large language models, presenting a closed‑loop lifecycle comprising data acquisition, selection, model optimization, inference refinement, and an autonomous evaluation layer, and discusses current limitations and research directions toward fully autonomous LLM evolution.