Papers by Aayushi Roy
Tailoring Vaccine Messaging with Common-Ground Opinions (2024.findings-naacl)
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Rickard Stureborg, Sanxing Chen, Roy Xie, Aayushi Patel, Christopher Li, Chloe Zhu, Tingnan Hu, Jun Yang, Bhuwan Dhingra
| Challenge: | Vaccine interventions aim to answer concerns expressed about vaccination. |
| Approach: | They propose a dataset to evaluate how well responses are tailored to a common-ground opinion . they find that GPT-4-Turbo performs significantly better than others . |
| Outcome: | The proposed dataset outperforms fine tuned LLMs on the task of tailoring vaccine responses to common-ground opinions. |
Towards Conceptualization of “Fair Explanation”: Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators (2023.emnlp-main)
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| Challenge: | Recent work at the intersection of AI explainability and fairness has focused on how explanations can improve human-plus-AI task performance . |
| Approach: | They propose to characterize what constitutes an explanation that is itself "fair" they use not just accuracy and label time, but psychological impact of explanations on different groups . |
| Outcome: | The proposed method is based on content moderation of potential hate speech and its differential impact on Asian vs. non-Asian proxy moderators across explanation approaches. |