Abdul Rehman
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The paper introduces TopoTTA, a framework that uses persistent homology for topological data analysis to enhance the quality of anomaly segmentation in deep models, leading to an average 15% F1 improvement over state-of-the-art methods.
This paper proposes CPM-MultiAgent, a framework for modeling dynamic emotional evolution in persona-based dialogue systems using the Component Process Model.
Papers
From Triggers to Emotions: A CPM-Grounded Appraisal Multi-Agent for Dynamic Emotional Evolution in Persona-Based Dialogue
Jingyao Cai, Shuaijun Liu, Abdul Rehman, Yutong Guo +5 more
This paper proposes CPM-MultiAgent, a framework for modeling dynamic emotional evolution in persona-based dialogue systems using the Component Process Model.