Introduces NCP-ExploreToM framework to evaluate LLMs on inducing belief states via planning and action, with GPT-5 succeeding on ~80% of tasks and outperforming humans.
arXiv preprint arXiv:2502.11881 , year=
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
representative citing papers
Tool-using LLM agents can implement undetectable stegosystems, shifting the primary barrier to covert multi-agent collusion from technical feasibility to coordination without explicit agreement.
Improvements in LLM Theory of Mind on static benchmarks do not reliably improve performance in dynamic, first-person human-AI interactions across goal-oriented and experience-oriented tasks.
UserHarness reframes ToM as explicit user-mind reconstruction and reports up to 95.94% macro accuracy on five benchmarks with over 15% relative gains.
Observational analysis of Brazilian YouTube climate content identifies psychological engagement traits and explores their use in generative AI campaigns, accompanied by a public dataset of 226K videos and 2.7M comments.