Papers by Riccardo Guidotti
Social Bias Probing: Fairness Benchmarking for Language Models (2024.emnlp-main)
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| Challenge: | Existing methods for evaluating social biases in language models have been limited to binary association tests on small datasets. |
| Approach: | They propose a framework for probing language models for social biases by assessing disparate treatment . they use a large-scale benchmark to examine the diversity of identities and stereotypes . |
| Outcome: | The proposed framework expands the analysis beyond the binary comparison of stereotypical versus anti-stereotypical identities to include a diverse range of identities and stereotypes. |