Unverified50% confidenceFactExact time
Language models are not calculators; multi-step arithmetic, large numbers, percentages and rounding rules significantly increase the probability of math errors.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedForcing small language models to approximate deterministic problems probabilistically sacrifices accuracy and energy consumption, and much of the unreliability in edge small models is avoidable.80% similarUnverified大语言模型在数学证明、代码生成等任务上超越人类平均水平，却在空间推理、计数等简单任务上出现失误，呈现非均匀能力分布79% similarUnverifiedA major pain point of large language models in mathematics is that they may generate proofs that appear rigorous but actually contain skipped steps or errors79% similarVerifiedLarge language models carry a hallucination risk in numerical reasoning and may produce errors in scenarios such as aggregate calculations, time-range filtering, or multi-table joins.77% similarUnverifiedMost of the widespread failures produced by the strict parser do not stem from model reasoning errors, but rather because multiplicative-form scientific notation falls outside the implemented number grammar.77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1069299API
curl https://kongchang.com/api/v1/knowledge/claims/1069299MCP
get_claim(id=1069299)