Papers by Bodhisattwa Majumder
Aligning Language Models to User Opinions (2023.findings-emnlp)
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| Challenge: | Personality is a defining feature of human beings, shaped by a complex interplay of demographic characteristics, moral principles, and social experiences. |
| Approach: | They use public opinion surveys to model past user opinions in addition to user demographics and ideology to achieve up to 7 points accuracy gains in predicting public opinions from survey questions. |
| Outcome: | The proposed model achieves 7 points accuracy gains in predicting public opinions from public opinion surveys across a broad set of topics. |
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions (2023.emnlp-main)
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| Challenge: | Debiasing methods in NLP models focus on isolating information related to a sensitive attribute (e.g., gender or race) but instead argue that a favorable debiaser should use sensitive information ‘fairly,’ with explanations, rather than blindly eliminating it. |
| Approach: | They propose that a favorable debiasing method should use sensitive information ‘fairly,’ with explanations, rather than blindly eliminating it. |
| Outcome: | The proposed approach reduces bias in explanations while maintaining the same prediction accuracy. |