arXiv cs.CL
· Papers
Agentic coding without the cloud: evaluating open-weight large language models on longitudinal data preparation tasks
arXiv:2607.21482v2 Announce Type: replace-cross Abstract: Large language models (LLMs) and agents are now widely used tools in code development, with data typically sent to third-party cloud-based models. Their adoption in research using personal data is constrained by governance requirements that typically prohibit da