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cs.AI2026
Explore or Confirm? LLM Agents Misallocate Measurements Under Noise
Abdul Karim, Matt Keon
As model reasoning gets cheaper, the physical experiment becomes the slow and costly step in discovery. Each experiment returns a noisy reading: a high value can mean a good candid…
cs.AI2025★ 1 cited
Galton's Law of Mediocrity: Why Large Language Models Regress to the Mean and Fail at Creativity in Advertising
Matt Keon, Aabid Karim, Bhoomika Lohana +4
Large language models (LLMs) generate fluent text yet often default to safe, generic phrasing, raising doubts about their ability to handle creativity. We formalize this tendency a…