#Data Scarcity and Power‑Law Effects

Articles (1)

• 🇺🇸 Long-Tail Knowledge in Large Language Models: Taxonomy, Mechanisms, Interventions and Implications — 19/02/2026 [USA]

  arXiv:2602.16201v1 Announce Type: cross Abstract: Large language models (LLMs) are trained on web-scale corpora that exhibit steep power-law distributions, in which the distribution of knowledge is h...

  Related: #Large Language Models (LLMs), #Long‑Tail Knowledge Distribution, #Model Scaling Limits, #Taxonomy and Classification of Knowledge