LLMs Struggle With No-Resource Languages; Study Proposes Evaluation and Improvement Path

The paper examines LLM code generation for no-resource languages — proprietary or domain-specific languages with virtually no training data — distinct from low-resource languages. It introduces evaluation benchmarks and improvement strategies for settings where tools like GitHub Copilot provide no support.