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Criticality in Dissimilar Decomposition and Undersampling of Random Datasets with Anomalies

This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.13201v1 Announce Type: new Abstract: Training datasets for upcoming LLMs would include a significant amount of AI text/image data generated from current LLMs. In such a scenario, it is important to understand how this affects batch decompositions and thereby, the performance of the resul…

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  1. 2026-09-15 04:00 · arXiv cs.LG
    Criticality in Dissimilar Decomposition and Undersampling of Random Datasets with Anomalies

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