Post-training pipeline choice (SFT+RL vs RL-only vs SFT-only) reliably shifts hallucination rates in large reasoning models on fact-seeking benchmarks.
A survey of confidence estimation and calibration in large language models
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Are Reasoning Models More Prone to Hallucination?
Post-training pipeline choice (SFT+RL vs RL-only vs SFT-only) reliably shifts hallucination rates in large reasoning models on fact-seeking benchmarks.