arxiv
PublishedMay 21, 2026 at 4:00 AM
—neutral
Position: Let's Develop Data Probes to Fundamentally Understand How Data Affects LLM Performance
Publisher summary· verbatim
arXiv:2605.18801v1 Announce Type: new Abstract: Data is fundamental to large language models (LLMs). However, understanding of what makes certain data useful for different stages of an LLM workflow, including training, tuning, alignment, in-context learning, etc., and why, remains an open question.
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Originally published on arxiv ↗