DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models (2025.naacl-long)
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| Challenge: | Existing zero-shot methods for Question Answering (QA) are efficient but fail to consider context and prevent bias propagation in the answers. |
| Approach: | They propose a method for debiasing Large Language Models using context-adaptive prompt generation that takes appropriate debiased actions based on the context and aNeutral Answer Guidance Generation to suppress the LLMs make objective judgments about the context. |
| Outcome: | The proposed method achieves state-of-the-art zero-shot debiased QA performance across eight LLMs. |
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