When Many-Shot Prompting Fails: An Empirical Study of LLM Code Translation

Amirkia Rafiei Oskooei, Kaan Baturalp Cosdan, Husamettin Isiktas +1

Large Language Models (LLMs) with vast context windows offer new avenues for in-context learning (ICL), where providing many examples ("many-shot" prompting) is often assumed to en…