Self-Improvement of Large Language Models: A Technical Overview and Future Outlook

Haoyan Yang, Mario Xerri, Solha Park +4

As large language models (LLMs) continue to advance, improving them solely through human supervision is becoming increasingly costly and limited in scalability. As models approach…