Salima Lamsiyah

RECTIFY, an interactive Streamlit workbench that turns evaluated RAG cases into auditable repair workflows, is presented, showing that pre-filtering reduces unnecessary repair candidates and that slicelevel routing yields more targeted repair cards than broad family-level diagnosis.

Forget subjective human evaluations: this paper uses a clever knowledge distillation trick to objectively rank XAI methods for NMT, revealing that attention-based attributions beat gradient-based ones.