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Self-Adaptive Cognitive Debiasing for Large Language Models in Decision-Making

arXiv — cs.CL•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
Recent advancements in large language models (LLMs) are paving the way for improved decision-making in various fields like finance, healthcare, and law. However, these models still face challenges due to inherent cognitive biases that can skew their outputs. Addressing these biases is crucial as it enhances the reliability of LLMs, making them more effective personal assistants. This development is significant because it not only improves the accuracy of decisions made with the help of AI but also builds trust in these technologies, potentially transforming how we approach complex decision-making.
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