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Synthetic Worlds for Temporal Evaluation and Knowledge Updating in LLMs

This story is from 2026-09-02. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.00184v1 Announce Type: new Abstract: Large language models (LLMs) rely on static pretraining corpora, causing their knowledge to become outdated over time. Existing approaches for evaluating knowledge edits either suffer from rapid contamination or rely on counterfactual edits that confl…

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  1. 2026-09-02 04:00 · arXiv cs.CL
    Synthetic Worlds for Temporal Evaluation and Knowledge Updating in LLMs

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