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Evaluating Persistent Calibration under Evolving Model Knowledge
Victor Wang, Thomas Hofweber, Mohit Bansal +1
As AI systems move from static repositories to agents that are capable of continual adaptation and learning, maintaining their trustworthiness means equipping the models backing th…
SHARD: Safe and Helpful Alignment via Self-Reframing Distillation
Viswonathan Manoranjan, Amogh Gupta, Anvesh Rao Vijjini +2
Large language models often struggle with sensitive prompts. They may refuse outright, provide generic safety boilerplate, or fail to address the user's legitimate informational ne…
AI-Mediated Explainable Regulation for Justice
Thomas Hofweber, Andreas Sudmann, Evangelos Pournaras
Present practice of deciding on regulation faces numerous problems that make adopted regulations static, unexplained, unduly influenced by powerful interest groups, and stained wit…