4 papers
A Unified Model for Cross-Domain Clone Detection via Model Merging
Palash R. Roy, Banani Roy, Kevin A. Schneider +1
The growing diversity of code clone types, from syntactic copies to cross-language semantic clones to AI-generated duplicates, has created a fragmentation crisis in clone detection…
MergeSE: Post-Hoc Model Merging for Software Engineering Tasks Without Retraining
Palash R. Roy, Banani Roy, Kevin A. Schneider +1
Fine-tuned code models often behave as domain specialists and can degrade sharply under distribution shift: in our clone-detection setting, a model trained on same-language clones…
Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models
Ajmain Inqiad Alam, Palash Roy, Chanchal K. Roy +2
The accelerating adoption of Large Language Models (LLMs) in software engineering (SE) has brought with it a silent crisis: unsustainable computational cost. While these models dem…
Are Classical Clone Detectors Good Enough For the AI Era?
Ajmain Inqiad Alam, Palash Roy, Farouq Al-omari +3
The increasing adoption of AI-generated code has reshaped modern software development, introducing syntactic and semantic variations in cloned code. Unlike traditional human-writte…