Abstract: Feature selection (FS) is a critical task in data science and machine learning, presenting significant challenges in high-dimensional settings due to the complexity and noise inherent in ...
Abstract: Code smell detection is critical for maintaining software quality and enabling effective refactoring, yet much prior work identifies only one smell at a time. This single-label framing ...
We present SegLLM, a novel multi-round interactive segmentation model that leverages conversational memory of both visual and textual outputs to reason over previously segmented objects and past ...