2 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.LG2026
Optimising for Energy Efficiency and Performance in Machine Learning
Emile Dos Santos Ferreira, Andrei Paleyes, Neil D. Lawrence
The ubiquity of machine learning (ML) and the demand for ever-larger models bring an increase in energy consumption and environmental impact. However, little is known about the ene…