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C. Roy

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#explainable ai Review Oct 2026

Who Pays the Review Cost? Triage, Fairness, and Accountability in AI-authored Pull Requests

AIPR governance is reframe around making human judgment observable before generated contributions consume scarce reviewer attention, and conceptualize missing rationale, validation, and ownership as reviewability debt, the work reviewers must absorb when generated code lacks sufficient human grounding.

Md Shamimur Rahman, Khairul Alam, Banani Roy et al. · 0 citations
Preprint Aug 2026

MergeSE: Post-Hoc Model Merging for Software Engineering Tasks Without Retraining

An open-source CLI and web tool for training-free model merging of HuggingFace encoder checkpoints, motivated by OOD generalization in clone detection, which supports SE classification workflows more broadly through a built-in registry of nine task types, including vulnerability detection, defect prediction, and code-s...

Palash Ranjan Roy, Banani Roy, Kevin A. Schneider et al. · 1 citation
Book Open access Aug 2026

A Unified Model for Cross-Domain Clone Detection via Model Merging

This work provides one of the first systematic empirical studies of model merging for software engineering and a practical recipe for building cross-domain code clone detectors.

Palash Ranjan Roy, Banani Roy, Kevin A. Schneider et al. · 1 citation

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