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cs.CL2025
A Scaling Law for Token Efficiency in LLM Fine-Tuning Under Fixed Compute Budgets
Ryan Lagasse, Aidan Kierans, Avijit Ghosh +1
We introduce a scaling law for fine-tuning large language models (LLMs) under fixed compute budgets that explicitly accounts for data composition. Conventional approaches measure t…
cs.CY2025★ 2 cited
Catastrophic Liability: Managing Systemic Risks in Frontier AI Development
Aidan Kierans, Kaley Rittichier, Utku Sonsayar +1
As artificial intelligence systems grow more capable and autonomous, frontier AI development poses potential systemic risks that could affect society at a massive scale. Current pr…