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Large language models trained on internet data can contain future info, causing lookahead bias. Point-in-time models aim to fix this. Impact on finance and social sciences research is significant.
“arXiv:2607.11889v2 Announce Type: replace-cross Abstract: Large language models trained on unrestricted internet corpora inevitably embed information from the future, introducing lookahead bias that compromises the validity of backtests and…”
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Point-in-Time Language Models, arXiv
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LAST OBSERVED
Aug 3, 2026