Large Language Models (LLMs) have generated considerable interest and debate
regarding their potential emergence of Theory of Mind (ToM). Several recent inquiries reveal …

Humans are social beings; we pursue social goals in our daily interactions, which is a
crucial aspect of social intelligence. Yet, AI systems' abilities in this realm remain elusive. We …

A hallmark property of explainable AI models is the ability to teach other agents,
communicating knowledge of how to perform a task. While Large Language Models perform …

While numerous works have assessed the generative performance of language models
(LMs) on tasks requiring Theory of Mind reasoning, research into the models' internal …

A hallmark property of explainable AI models is the ability to teach other agents,
communicating knowledge of how to perform a task. While Large Language Models (LLMs) …

People rely heavily on context to enrich meaning beyond what is literally said, enabling
concise but effective communication. To interact successfully and naturally with people, user …

Recent work on dialogue-based collaborative plan acquisition (CPA) has suggested that
Theory of Mind (ToM) modelling can improve missing knowledge prediction in settings with …

With the advent of machine consciousness, our perspective on AI and the potential
management of intelligent systems has shifted dramatically (Hassani, Silva, Unger …

We propose MToMnet-a Theory of Mind (ToM) neural network for predicting beliefs and their
dynamics during human social interactions from multimodal input. ToM is key for effective …

This study introduces the Data-Driven Personalized Learning Model (DDPLM), a
sophisticated framework designed to enhance foreign language acquisition through the …