3 papers
cs.SE2026
Code Roulette: How Prompt Variability Affects LLM Code Generation
Andrei Paleyes, Radzim Sendyka, Diana Robinson +2
Code generation is one of the most active areas of application of Large Language Models (LLMs). While LLMs lower barriers to writing code and accelerate development process, the ov…
cs.LG2025
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…
cs.SE2024
Requirements are All You Need: The Final Frontier for End-User Software Engineering
Diana Robinson, Christian Cabrera, Andrew D. Gordon +2
What if end users could own the software development lifecycle from conception to deployment using only requirements expressed in language, images, video or audio? We explore this…