AI tutor powered by Theory-of-Mind reasoning
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Updated
Aug 11, 2025 - TypeScript
AI tutor powered by Theory-of-Mind reasoning
An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
[🏆Outstanding Paper Award at ACL 2024] MMToM-QA: Multimodal Theory of Mind Question Answering
[ACL 2024] Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
The offcial implementation of "ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind" (ICLR 2022) .
ToMBench: Benchmarking Theory of Mind in Large Language Models, ACL 2024.
[ICML 2024] Language Models Represent Beliefs of Self and Others
VU-CLTL Pepper/Nao Application Repository (Python 2)
AutoToM: Scaling Model-based Mental Inference via Automated Agent Modeling
Code for our SIGGRAPH 2023 paper, "Acting as Inverse Inverse Planning"
Testing Theory of Mind (ToM) in language models with epistemic logic
ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind (AAAI2025)
Code for the paper "Symmetric Machine Theory of Mind", presented at ICML 2022.
IMQ (interactive mentalizing questionnaire)
A research project into the underlying mechanisms of consciousness, and an emulation of a calculator that is conscious.
VU-CLTL Pepper/Nao Application Repository (Python 3)
This repository contains the code used for the experiments in the paper "Language Models use Lookbacks to Track Beliefs".
Code used to produce the figures of the academic paper "Risk Sensitivity and Theory of Mind in Human Coordination".
A predictive, substrate-agnostic theory of consciousness proposing that awareness arises from delayed sensory processing, memory integration, and recursive modeling. Applicable to both biological and artificial systems. Authored by Joshua B. Hinkson, MA · Published 2025 · Public preprint available on Academia.edu.
Material for the Moral Dynamics project -- a computational model of moral judgment by Felix Sosa, Tomer Ullman, Josh Tenenbaum, Sam Gershman, and Tobias Gerstenberg. A standing manuscript can be found here: www.mit.edu/~fsosa/papers/md.pdf
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