Large language models can outperform humans in social situational judgments
Abstract Large language models (LLM) have been a catalyst for the public interest in artificial intelligence (AI). These technologies perform some knowledge-based tasks better and faster than human beings. However, whether AIs can correctly assess social situations and devise socially appropriate be...
Saved in:
| Main Authors: | Justin M. Mittelstädt, Julia Maier, Panja Goerke, Frank Zinn, Michael Hermes |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-79048-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Large language models outperform general practitioners in identifying complex cases of childhood anxiety
by: Inbar Levkovich, et al.
Published: (2024-12-01) -
The Naples Score: Can it Outperform Existing Scores in Predicting Gastric Cancer Mortality?
by: Bahadır Kartal, et al.
Published: (2024-10-01) -
Towards the Best Solution for Complex System Reliability: Can Statistics Outperform Machine Learning?
by: María Luz Gámiz, et al.
Published: (2024-12-01) -
Judgmental evaluation of the CEFR by stakeholders in language testing
by: Mathea Simons, et al.
Published: (2015-07-01) -
Validity and reliability of the situational judgment test instrument for assessing the ‘Pancasila’ student profile
by: Tri Wahyuni, et al.
Published: (2024-12-01)