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Time-Incremental Continued Pretraining of LLMs: Knowledge Updates Without Catastrophic Forgetting
Large language models (LLMs) drift out of date the moment their pretraining ends, yet retraining from scratch is prohibitively expensive. Continued pretraining (CPT) is the natural remedy, but it is typically evaluated through a continual learning lens that assumes disjoint data streams. This is a p
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