Adding the linguistic neural network to a transformer does not significantly change inference time (p = 0.244)¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person · recheck by 2027: tool and model accuracy changes quickly

Subclaims¶

q2 i? A paired t-test on inference time found no statistically significant difference between unimodal and multimodal approaches. → Jordan J. Bird 2024

Evidence¶

Jordan J. Bird 2024¶

Jordan J. Bird. (2024). What Differentiates Educational Literature? A Multimodal Fusion Approach of Transformers and Computational Linguistics. arXiv preprint. https://arxiv.org/abs/2411.17593 doi:10.48550/arxiv.2411.17593

q2 · i? · design · r2

Paired t-test across the five validation metrics including inference time; only inference time failed to reach significance (p = 0.244). The article reports no effect size, so the magnitude of any time difference is untested.

"Furthermore, the paired t-test for inference time ( p = 0 .244) shows that there is no statistically significant difference, suggesting that the addition of the artificial neural network does not have a considerable impact on processing time."

Discussion¶

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