Researchers note that over 45% of edited outputs contain user-added information not directly supported by model inputs. Naive fine-tuning on raw edits risks teaching the model to hallucinate.Source: arXiv cs.CLhttps://arxiv.org/abs/2611.12904#MachineLearning
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