13 citations · 14 across the 8 of their papers we have counts for
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cs.AI2026
Reinforcing Agentic Creativity in Scientific Ideation with Night Science
Priyanka Kargupta, Silviu Cucerzan, Shweti Mahajan +4
Large language models (LLMs) excel at structured, verifiable tasks, but their low-entropy bias can produce homogeneous and predictable outputs, limiting their utility for open-ende…
cs.AI2016
A Base Camp for Scaling AI
C. J. C. Burges, T. Hart, Z. Yang +4
Modern statistical machine learning (SML) methods share a major limitation with the early approaches to AI: there is no scalable way to adapt them to new domains. Human learning so…