Papers by Afaf Taik
Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework (2026.eacl-long)
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Clea Chataigner, Rebecca Ma, Prakhar Ganesh, Yuhao Chen, Afaf Taik, Elliot Creager, Golnoosh Farnadi
| Challenge: | Existing studies have studied prompt sensitivity by altering formatting or generating paraphrases with automated techniques. |
| Approach: | They propose a framework for generating controlled paraphrases grounded in user behaviors . they leverage linguistically informed rules and enforce quality through checks on instruction adherence . |
| Outcome: | The proposed framework is able to detect weaknesses in large language models . it leverages linguistically informed rules and enforces quality through checks on instruction adherence, semantic similarity, and realism. |
From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards (2024.findings-acl)
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Khaoula Chehbouni, Megha Roshan, Emmanuel Ma, Futian Wei, Afaf Taik, Jackie Cheung, Golnoosh Farnadi
| Challenge: | Recent advances in large language models have also introduced additional safety risks and raised concerns regarding their detrimental impact on already marginalized populations. |
| Approach: | They propose to use LLMs to evaluate their safety responses on already mitigated biases by evaluating models on already encoded assumptions. |
| Outcome: | The proposed model can encode harmful assumptions, but it can also be harmful for certain demographic groups. |