32 citations · 68 across the 7 of their papers we have counts for
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cs.SE2025
Mechanistic Interpretability of Code Correctness in LLMs via Sparse Autoencoders
Kriz Tahimic, Charibeth Cheng
As Large Language Models become integral to software development, with substantial portions of AI-suggested code entering production, understanding their internal correctness mecha…
cs.SE2021★ 1 cited
The Need for a Fine-grained approach in Just-in-Time Defect Prediction
Giuseppe Ng, Charibeth Cheng
With software system complexity leading to the rise of software defects, research efforts have been done on techniques towards predicting software defects and Just-in-time (JIT) de…
cs.SE2021★ 1 cited
Investigation of Dataset Features for Just-in-Time Defect Prediction
Giuseppe Ng, Charibeth Cheng
Just-in-time (JIT) defect prediction refers to the technique of predicting whether a code change is defective. Many contributions have been made in this area through the excellent…