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Metacognitive regulation emerges as a key differentiator for deeper collaboration in human-AI interactions, reshaping our understanding of dialogue dynamics.
Forgetting specific data without sacrificing model performance just got a theoretical boost鈥擧AMU guarantees improvements in unlearning quality based on data hardness.
Fine-tuning LLMs to emulate specific cultural values improves average accuracy, but simultaneously widens the disparity in performance between demographic subgroups.
