We welcome submissions of full papers as well as work-in-progress and accept submissions of work recently published or currently under review.
In general, we encourage three types of papers:
- Empirical paper: Submissions should focus on presenting original research, case studies or novel implementations in the fields of machine learning, artificial intelligence, natural language processing, and related areas.
- Position paper: Authors are encouraged to submit papers that discuss critical and thought-provoking topics within the scientific community.
- Thought pieces: Contributions in this category should provide insights, thought experiments, or discussions pertaining to theoretical or philosophical questions in machine learning and related disciplines. We welcome the papers discussing the relationships between theory-of-mind and language acquisition, large language models, agency, subjectivity, embodiment, AI ethics and safety, social intelligence, artificial intelligence, etc. We also welcome contributions that address related questions or offer new perspectives on existing conversations.
- Leveraging ToM for Machine Learning Applications (e.g., NLP, Robotics, CV)
- Cognitive Science Perspectives of ToM
- ToM for HCI / Human-AI collaboration
- Surveys or replication of existing work
- Social Impacts of ToM
Important Dates
TBDSubmission Guidelines
The ToM 2024 workshop will use OpenReview as the review platform.
Accepted papers will be presented as posters, and a subset of them will be selected for oral presentation. We plan to organize the ToM workshop at ICML 2024 in a hybrid format. For virtual workshop attendees, we plan to use Zoom for the talks/panel and Gather for posters/socializing. To support the hybrid format, we will hold parallel meet-and-greet sessions online and in-person.
The paper template and style files can be found at here (adapted based on ICML template). The length of paper can be as short as 2 pages or as long as 8 pages (excluding references and appendix). Submissions must follow the template and style and should be properly anonymized.
Dual Submission Policy
We welcome papers that have never been submitted, are currently under review, or recently published. Accepted papers will be published on the workshop homepage, but will not be part of the official proceedings and are to be considered non-archival.