Do Not Copy/Paste: Soft Barriers for Copying in AI-Assisted Programming
Djire, Alberick Euraste;
Do Not Copy/Paste: Soft Barriers for Copying in AI-Assisted Programming
A Python framework for evaluating the impact of different prompt templates on code generation benchmarks (HumanEval, MBPP) while applying soft barrier to avoid naive copy/past. The system supports multiple LLM providers, parallel processing, and comprehensive result analysis with visualizations.
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average