Can LLMs Reason Like Humans? Assessing Theory of Mind Reasoning in LLMs for Open-Ended Questions.
Maryam Amirizaniani|Elias Martin|Maryna Sivachenko|Afra Mashhadi|Chirag Shah
| Anthology ID: | DBLP:conf/cikm/AmirizanianiMSM24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 34-44 |
| URL: | https://doi.org/10.1145/3627673.3679832 |
| DOI: | https://doi.org/10.1145/3627673.3679832 |
| DBLP: | conf/cikm/AmirizanianiMSM24 |
| BibTeX: |
@inproceedings{amirizaniani-2024-llms,
author = {Maryam Amirizaniani and
Elias Martin and
Maryna Sivachenko and
Afra Mashhadi and
Chirag Shah},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Can LLMs Reason Like Humans? Assessing Theory of Mind Reasoning in LLMs for Open-Ended Questions}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {34--44},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679832},
doi = {https://doi.org/10.1145/3627673.3679832}
}