Papers by Gaurav Kumar Nayak
Open-DeBias: Toward Mitigating Open-Set Bias in Language Models (2025.findings-emnlp)
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| Challenge: | Existing approaches to addressing harmful biases in LLMs are limited to predefined categories . a novel, data-efficient, and parameter-efficient debiasing method is proposed to mitigate existing social and stereotypical biase . |
| Approach: | They propose an open-set bias detection and mitigation method to address harmful biases in text-based QA. |
| Outcome: | The proposed method improves QA accuracy on Korean BBQ dataset by nearly 48% on ambiguous subsets and 6% on disambiguated ones. |