Research on Code Completion for Low-Resource Languages
Kilian Kier · hf · 2026-07-09
This piece introduces a research effort to adapt large models for code completion in the low-resource programming language Pharo, utilizing specialized training pipelines and evaluation benchmarks. Results show that this customized approach achieves better code completion performance than general-purpose models.
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