Unverified50% confidenceOpinionExact time
If the conversion step does not understand the separation of format and value, what the LLM receives will be a meaningless five-digit number, making effective reasoning impossible.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLLM output may have invisible tokens such as newline characters, spaces, or zero-width spaces appended at the end, causing strict string equality checks to fail.69% similarVerifiedLLM output is non-deterministic; due to the non-associativity of floating-point operations and differences in context windows, even with identical inputs, outputs are difficult to reproduce exactly and do not possess idempotency.63% similarUnverifiedA single throughput figure (tok/s) cannot reflect a model's true capability, long-context cost, or cross-model comparability.62% similarUnverified浮点数在token空间中并非连续分布，导致LLM精确运算天然不可靠61% similarUnverifiedTraditional accuracy metrics fail to capture the internal logical contradictions of LLMs, making it necessary to introduce new evaluation standards such as the information processing gap.60% similar
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