2 papers
cs.AI2026
Benchmarking Large Language Models on Floating-Point Error Classification
Lisa Taldir, Muhammad Ahmad Saeed, David Defour +2
This paper investigates the capability of Large Language Models (LLMs) to detect and classify floating-point errors statically in software code. We introduce InterFLOPBench, a benc…
math.NA2024
Bounds on non-linear errors for variance computation with stochastic rounding
El-Mehdi El Arar, Devan Sohier, Pablo de Oliveira Castro +1
The main objective of this work is to investigate non-linear errors and pairwise summation using stochastic rounding (SR) in variance computation algorithms. We estimate the forwar…