Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests

Max J. van Duijn, Bram van Dijk, Tom Kouwenhoven, Werner de Valk, Marco Spruit, Peter vanderPutten. Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests. In Jing Jiang 0001, David Reitter, Shumin Deng, editors, Proceedings of the 27th Conference on Computational Natural Language Learning, CoNLL 2023, Singapore, December 6-7, 2023. pages 389-402, Association for Computational Linguistics, 2023. [doi]

@inproceedings{DuijnDKVSv23,
  title = {Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests},
  author = {Max J. van Duijn and Bram van Dijk and Tom Kouwenhoven and Werner de Valk and Marco Spruit and Peter vanderPutten},
  year = {2023},
  url = {https://aclanthology.org/2023.conll-1.25},
  researchr = {https://researchr.org/publication/DuijnDKVSv23},
  cites = {0},
  citedby = {0},
  pages = {389-402},
  booktitle = {Proceedings of the 27th Conference on Computational Natural Language Learning, CoNLL 2023, Singapore, December 6-7, 2023},
  editor = {Jing Jiang 0001 and David Reitter and Shumin Deng},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-039-4},
}