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Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models

6 upvotes · 24 JUL 2026 · Junlin Fang, Do Nguyen-Thanh, Xiaogang Xu et al.

This paper develops a method to clean up noisy signals in reasoning traces of large models to improve detection of hallucinations, which are false answers produced by models. Practitioners might care about this because it could lead to more accurate models that produce reliable answers.

continual learningreasoning modelshallucination detectiondenoisingnatural language processingbenchmarks