Outcome evidence improves LLM accuracy on scientific feasibility assessment more consistently than experiment descriptions, which introduce brittleness under partial context.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
AI is shifting researchers from creators to curators of generated content, risking loss of intellectual ownership and genuine understanding of science.
citing papers explorer
-
Experiments or Outcomes? Probing Scientific Feasibility in Large Language Models
Outcome evidence improves LLM accuracy on scientific feasibility assessment more consistently than experiment descriptions, which introduce brittleness under partial context.
-
Are Researchers Being Replaced by Artificial Intelligence?
AI is shifting researchers from creators to curators of generated content, risking loss of intellectual ownership and genuine understanding of science.