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cs.PL2026
Evaluating LLMs in the Context of a Functional Programming Course: A Comprehensive Study
Yihan Zhang, Brigitte Pientka, Xujie Si
Large-Language Models (LLMs) are changing the way learners acquire knowledge outside the classroom setting. Previous studies have shown that LLMs seem effective in generating to sh…
cs.PL2022
Novice Type Error Diagnosis with Natural Language Models
Chuqin Geng, Haolin Ye, Yixuan Li +3
Strong static type systems help programmers eliminate many errors without much burden of supplying type annotations. However, this flexibility makes it highly non-trivial to diagno…