Papers by Craig W Schmidt
1,729 vs. 1729: The Effect of Scripts and Formats on LLM Numeracy (2026.findings-acl)
Copied to clipboard
| Challenge: | Large language models (LLMs) have impressive proficiency in basic arithmetic, but little attention has been given to how they perform when numerical expressions deviate from the prevailing conventions present in their training corpora. |
| Approach: | They investigate numerical reasoning across a wide range of numeral scripts and formats . they show that LLM accuracy drops substantially when numerical inputs are rendered in underrepresented scripts or formats despite the underlying mathematical reasoning being identical . |
| Outcome: | The proposed methods can narrow the gap between LLMs and human models when they deviate from prevailing numerical conventions. |