Your question is Mitigating Hallucinations. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Describe your approach to mitigating hallucination in multi-step reasoning chains.
Discuss how you would detect unsupported intermediate claims, ground reasoning in trusted evidence, decide when to abstain or request retrieval, and evaluate the system without relying only on final-answer accuracy. Include a practical machine learning design, training and validation strategy, threshold selection, and production monitoring plan. Explain how your approach handles correlated errors across reasoning steps, incomplete evidence, distribution shift, and the tradeoff between catching hallucinations and unnecessarily rejecting valid reasoning.
