Papers by Lynda Djennane
BTC-SAM: Leveraging LLMs for Generation of Bias Test Cases for Sentiment Analysis Models (2025.emnlp-main)
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Zsolt T. Kardkovács, Lynda Djennane, Anna Field, Boualem Benatallah, Yacine Gaci, Fabio Casati, Walid Gaaloul
| Challenge: | Sentiment Analysis (SA) models harbor inherent social biases that can be harmful in real-world applications. |
| Approach: | They propose a bias testing framework that generates high-quality test cases using Large Language Models (LLMs) for the controllable generation of test sentences. |
| Outcome: | The proposed framework generates high-quality test cases for bias testing in SA models with minimal specification using Large Language Models (LLMs) for the controllable generation of test sentences. |