Scaling Point-in-Time Language Models
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Large language models trained on unrestricted internet corpora inevitably embed information from the future, introducing lookahead bias that compromises the validity of backtests and causal inference in finance and the social sciences. Point-in-time language modelstrained exclusively on text
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美国国家经济研究局创建时间：
2026-05-01
