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Proposes the Human-AI Coevolution Dynamics Framework (HACD-H) as a formal model of human-AI interaction, integrating emotional adaptation, relational organization, social memory, and personality consistency. Results show social intelligence emerges from long-term social cognitive coevolution.
An essay exploring why thinking out loud with another person produces better understanding and insight than solitary reflection, drawing on cognitive science and philosophy.
Researchers introduce the MM-OCEAN dataset and a three-tier evaluation framework for grounded personality reasoning in multimodal LLMs, revealing a 'Prejudice Gap' where models often make correct predictions without proper grounding.
This paper proposes a new interactive evaluation paradigm for Theory of Mind in LLMs, finding that improvements on static benchmarks do not translate to better performance in dynamic human-AI interactions, highlighting the need for interaction-based assessments.