papersTODAY 04:00 UTC
arXiv paper formalizes and measures abductive 'jump' in large language models
A new arXiv preprint proposes a formal definition and measurement method for the 'jump' — the abductive step from evidence to a new set of axioms — in large language models. The work responds to ongoing debate over whether LLMs are structurally incapable of such reasoning, framing the question as something that can be tested empirically rather than argued abstractly.
COVERAGE · 3 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS
arXiv cs.AIWhen the Canonical Completion Is Wrong: Formalizing and Measuring the Jump in Large Language Models ↗TODAY 04:00 UTC
arXiv cs.CLWhen the Canonical Completion Is Wrong: Formalizing and Measuring the Jump in Large Language Models ↗TODAY 04:00 UTC
arXiv cs.LGWhen the Canonical Completion Is Wrong: Formalizing and Measuring the Jump in Large Language Models ↗TODAY 04:00 UTC