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awesome-theory-of-mind
Machine Theory of Mind Reading List. Built upon EMNLP Findings 2023 Paper: Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models
https://github.com/Mars-tin/awesome-theory-of-mind
Last synced: 1 day ago
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Overview
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Contributors
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3. Cognitive Underpinnings of ToM
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3.1 Definition and Importance of ToM in Human Cognition (Selected)
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3.2 Taxonomies of ToM and Mental States
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4. Computational Inquiry to ToM in Foundation Models
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4.2 Counter-Evidence for Understanding Extrinsic Mental States
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4.1 Probing Intrinsic Mental States
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4.1 Evidence for Understanding Extrinsic Mental States
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1. ToM Community Resources
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2. Machine ToM Surveys and Position Papers
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5. Computational Modeling of ToM
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5.1 Learning Latent Representation for ToM
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5.2 Learning (Neural-)Symbolic Representation for ToM
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5.3 Prompting and In-Context Learning for ToM in LLMs
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5.4 Bayesian and (Inverse) Reinforcement Learning Based ToM Modeling
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5.5 Other ToM Modeling
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6. ToM Application
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6.1 Pragmatics and Instruction Generation/Following
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6.2 Dialogue Processing and Generation
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6.3 Language Acquisition
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6.4 Human-AI Interactions
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6.5 Explainable AI
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6.6 Healthcare
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6.7 Privacy
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Categories
Sub Categories
4.2 Counter-Evidence for Understanding Extrinsic Mental States
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3.1 Definition and Importance of ToM in Human Cognition (Selected)
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1.3 Tools
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5.4 Bayesian and (Inverse) Reinforcement Learning Based ToM Modeling
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5.3 Prompting and In-Context Learning for ToM in LLMs
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5.5 Other ToM Modeling
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6.1 Pragmatics and Instruction Generation/Following
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4.1 Evidence for Understanding Extrinsic Mental States
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3.2 Taxonomies of ToM and Mental States
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6.2 Dialogue Processing and Generation
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5.1 Learning Latent Representation for ToM
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Contributors
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4.1 Probing Intrinsic Mental States
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5.2 Learning (Neural-)Symbolic Representation for ToM
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6.4 Human-AI Interactions
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6.3 Language Acquisition
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1.1 Workshops
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6.5 Explainable AI
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6.7 Privacy
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6.6 Healthcare
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