Large language models are less logically consistent when hypotheses are decomposed into atomic sub-problems, and a new inferential-consistency metric quantifies how consistently models handle the same fact in different contexts.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
NLI under the Microscope: What Atomic Hypothesis Decomposition Reveals
Large language models are less logically consistent when hypotheses are decomposed into atomic sub-problems, and a new inferential-consistency metric quantifies how consistently models handle the same fact in different contexts.