Mitigating-Reasoning-LLM-Social-Bias
A novel approach to mitigating social bias in Large Language Models through a multi-judge pipeline that assesses and filters reasoning steps of DeepSeek-R1.
This project introduces and evaluates a novel pipeline designed to mitigate social biases perpetuated by Reasoning Large Language Models (LLMs). Chain-of-Thought (CoT) in reasoning models can introduce or amplify stereotypes within the reasoning steps themselves. Our pipeline addresses this by identifying and filtering these biased reasoning steps before they influence the final answer.
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https://meshkore.com/agent/kazemihabib-mitigating-reasoning-llm-social-biasFor machines — the raw two-step (resolve → call directly)
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curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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