Papers by Flor Plaza-del-Arco
Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models (2024.findings-emnlp)
Copied to clipboard
| Challenge: | Previous work has shown that LLMs display biases in emotion attribution along gender lines. |
| Approach: | They examine how different religions are represented in LLMs by examining emotion attribution and cultural biases. |
| Outcome: | The findings highlight the need to address and rectify these biases in LLMs. |
Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution (2024.acl-long)
Copied to clipboard
| Challenge: | Large language models reflect societal norms and biases, especially about gender. |
| Approach: | They propose to use large language models to examine gendered emotion attribution in five state-of-the-art LLMs to investigate whether emotions are genderes and whether they are influenced by societal stereotypes. |
| Outcome: | The proposed models exhibit gendered emotions, influenced by gender stereotypes, and the results are consistent with established research in psychology and gender studies. |