Unverified50% confidenceFactExact time
The researchers acknowledge that the model still falls far short of classical language models trained on trillions of tokens on text tasks.
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50%
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Long-term
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10/6/2026
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UnverifiedResearch shows that models trained on low-quality or machine-generated text exhibit significant degradation in linguistic diversity and reasoning accuracy, a phenomenon known as the 'model collapse' effect.77% similarUnverifiedA language model in the pre-training stage only learns to continue text and does not understand the concept of answering questions or following instructions76% similarVerified大语言模型通过在数千亿乃至数万亿个词元（Token）的文本数据上进行自监督预训练76% similarUnverified作者认为选择卷积神经元作为切入点可能是策略失误，因为当前可解释性研究热点已转向大语言模型，并表示后续将转向语言模型研究75% similarUnverifiedLarge language models are trained on massive corpora that may already contain extensive mathematical literature, problem-solving processes, and even answers to similar problems.75% similar
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