Poster sessions

1.Analyzing the Feasibility of Achieving Machine Theory of Mind through ToMnet-like Approaches

2.Multi-Agent Centralised Hypergames: a Theory of Mind Reasoning Framework

3.The Case for More Comprehensive Evaluations of Machine Theory of Mind

4.A Notion of Complexity for Theory of Mind Benchmarks

5.TrackTheMind: program-guided adversarial data generation for theory of mind reasoning

6.Understanding Theory of Mind in Large Language Models: The Role of Perturbations and Chain-of-Thought Prompting

7.Internal Mechanisms for Tracking Belief State in Language Models

Theory of Mind Imitation by LLMs for Physician-Like Human Evaluation

8. Establishing the Cooperative Game Wavelength as a Testbed to Explore Mutual Theory of Mind

9. Collaboration Through Shared Understanding: Knowledge Elicitation for a Mutual Theory of Mind in Human-AI Teams

10. Using Second-Order Theory of Mind to Account for Human Teacher and Robot Learner Misunderstandings of One Another

11. Using a Robotic Theory of Mind for Modeling Biased Humans to Promote Trustworthy Interaction

12. Theory of AI’s Mind (ToAIM): A Concept Explication and Measurement Development for Human-AI Interaction

13. Adaptable Social AI Agents

14. I Know What You Did Last Summer (and I Can Predict What You're Trying to do Now): Incorporating Theory of Mind into Multi-agent Reinforcement Learning

15 .Finding Common Ground: Comparing Two Computational Models of Social Intelligence.

16. Relational Closure for Reasoning 

17. CBT-5: a Logical Formalisation of Cognitive Behaviour Therapy

12. Building the ToM tagger: an fMRI validation of the ability of GPT-4o to recognize Theory of Mind (ToM) in natural conversations

19. Beyond Emotion Recognition to Reasoning: Using Contextual Cues and Cognitive Appraisals in Large Language Models

20. Understanding Epistemic Language with Language-guided Bayesian Theory of Mind

21. Projecting Knowledge and Common Ground from Characters’ Utterances in Narratives: A Psycholinguistic Baseline for LLMs

22. Claims on Mind-Reading/Ascription: Insights for AI

23. Modelling the Self through Others: Implications for Biological and Artificial Systems

25. MAPS - A Metacognitive Architecture for Improved Social Learning

26. Why Was I Sanctioned? Perspective-Taking for Causal Explanations

27. Vision Language Models See What You Want But Not What You See

28. What do Large Language Models Think You Think? A False Belief Task Study in a Safety-Critical Domain

29. Can Large Language Models Predict Human Mental Models in Social Decision Making?

30. User-VLM: LLM Contextualization with Multimodal Pre-trained User Models

31. SIFToM: Robust Spoken Instruction Following through Theory of Mind

32. How Well Can Vision-Language Models Understand Humans’ Intention? An Open-ended Theory of Mind Question Evaluation Benchmark

33. "I apologize for my actions": Emergent Properties of Generative Agents and Implications for a Theory of Mind