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Small Vision-Language Model Achieves Certified Exact Arithmetic

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Sketchpad, a small vision-language model based on Qwen3.5-0.8B, capable of performing certified exact arithmetic operations. By limiting each step's access to a bounded view of external memory, the model's exactness can be proven finite and checkable. This approach allows for arbitrary-length calculations, including addition, subtraction, multiplication, division, square roots, and greatest common divisors, with guarantees of accuracy. AI

IMPACT Demonstrates a path toward verifiable computation in LLMs, potentially enabling more reliable AI agents for critical tasks.

RANK_REASON The item describes a research paper detailing a novel method for achieving certified exact arithmetic in a small language model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Small Vision-Language Model Achieves Certified Exact Arithmetic

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The item describes a research paper detailing a novel method for achieving certified exact arithmetic in a small language model. [lever_c_demoted from research: ic=1 ai=1.0]
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  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Sketchpad: certified exact arithmetic with a small vision-language model

    Language models are accurate on most long-arithmetic problems, but their accuracy is estimated on samples and carries no guarantee for an unseen input; tool use is exact but moves the computation outside the network. We show that exactness at all input lengths becomes a finite, c…

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