avclabjlu/awesome-social-world-models

Awesome Social World Models is a curated list of research papers, not a piece of software you install and run. It works like a study guide: a group of researchers put together a long list of academic papers about how computers and robots might understand what people are thinking and feeling, and how they might work together with humans on shared tasks. The topics covered include theory of mind, which is the idea of a system building an internal model of what another person believes or wants, emotion recognition and generation, and coordination between robots and humans working together. The list is organized into sections such as individual exploration and curiosity driven learning, internal mental state modeling, theory of mind, emotions, social coordination, and simulators used for testing these ideas. Under each section are links to specific papers, with the year they were published and links to the paper itself or its code when one exists. There is no code to run and no installation step here. This project exists to help someone quickly find the key research in this field rather than search from scratch, pointing to work from conferences like CVPR, ICLR, and ICML alongside newer papers. It would be most useful to a researcher, student, or engineer who wants a fast overview of academic work on social intelligence in AI systems, particularly around theory of mind and human robot coordination. Because it is a reading list rather than a tool, there is nothing to configure and no dependencies to install. The README does not state a license for reuse of the list itself, and it does not describe any accompanying dataset or codebase beyond the collected links. Anyone using this resource would need to check the license terms of each individual paper or project they follow up on.