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

Large Language Models (LLMs) perform complex reasoning by generating explanations for
their predictions. However, a complementary goal of explanations is to also communicate …

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) …

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 …

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 …

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) …

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 …

We introduce a task and dataset for referring expression generation and comprehension in
multi-agent embodied environments. In this task, two agents in a shared scene must take …

The study of machine consciousness has a wide range of potential and problems as it sits at
the intersection of ethics, technology, and philosophy. This work explores the deep issues …

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