2 citations · 2 across the 5 of their papers we have counts for
5 papers
Heaviside Continuity of Rolling Coefficients for Eliminating Epistemic Entropy in Large Language Models
MY Pitsane, Hope Mogale
Large language models (LLMs) generate fluent outputs that can be wrong. Unlike humans, who often exhibit cues when providing false information, LLMs produce errors that are difficu…
Blast Radius
MY Pitsane, Hope Mogale
Agentic coding faces growing problems of affordability and wasted tokens. We introduce Blast Radius, a predictive memory management layer that estimates an incoming prompt's reach…
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise
Moseli Mots'oehli, Hope Mogale, Kyungim Baek
Fine-tuning pre-trained convolutional neural networks on ImageNet for downstream tasks is well-established. Still, the impact of model size on the performance of vision transformer…
Accelerating Green Computing with Hybrid Asymmetric Multicore Architectures and Safe Parallelism
Hope Mogale, Michael Esiefarienrhe, Naison Gasela +1
In this paper we present a novel strategy for accelerating green computing by utilizing and adopting the Hybrid Asymmetric Multicore Architectures (HAMA) model with Safe Parallelis…
High Performance Canny Edge Detector using Parallel Patterns for Scalability on Modern Multicore Processors
Hope Mogale
Canny Edge Detector (CED) is an edge detection operator commonly used by most Image Feature Extraction (IFE) Algorithms and Image Processing Applications. This operator involves th…