1 citations · 1 across the 9 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.AI2024
Predicting Country Instability Using Bayesian Deep Learning and Random Forest
Adam Zebrowski, Haithem Afli
Country instability is a global issue, with unpredictably high levels of instability thwarting socio-economic growth and possibly causing a slew of negative consequences. As a resu…
cs.CL2024
GASE: Generatively Augmented Sentence Encoding
Manuel Frank, Haithem Afli
We propose a training-free approach to improve sentence embeddings leveraging test-time compute by applying generative text models for data augmentation at inference time. Unlike c…