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20192026
most citedChallenges in Deploying Machine Learning: a Survey of Case Studies

625 citations · 721 across the 15 of their papers we have counts for

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2 papers · 1 filter

cs.SE2025

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…