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NeurIPS 2026U Pisa, LuissU Pisa & ISTI-CNRCNRLuiss Guido CarliU PisaDomain adaptation

STABLE: A Continual Learning Optimizer with Adaptive Drift Control

Xiaoyan Li, Lanpei Li, Massimo Coppola, Vincenzo Lomonaco and 1 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Scuola Normale SuperioreCNRSchool of Education PisaU PisaExplainable AI

Comparing Explanations is not Enough,Explain the Change: New Standards are Needed to Explain Behavioral Shifts in Large Language Models

Current explainability methods fail to explain LLM behavioral shifts from interventions; this paper proposes Comparative XAI (XAIΔ) to explain model transitions and defines auditing desiderata for governance.

Martino Ciaperoni, Marzio Di Vece, Roberto Pellungrini, Luca Pappalardo and 2 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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