LLM Performance for Code Generation on Noisy Tasks

Radzim Sendyka, Christian Cabrera, Andrei Paleyes +2

This paper investigates the ability of large language models (LLMs) to recognise and solve tasks which have been obfuscated beyond recognition. Focusing on competitive programming…