Quantization Beats Redesign: 4-Bit Small Language Models Cut Memory 71% and Boost Speed 83%
A controlled benchmark study finds that 4-bit quantization of a compact Transformer model delivers the strongest overall efficiency gains, while ...
A controlled benchmark study finds that 4-bit quantization of a compact Transformer model delivers the strongest overall efficiency gains, while ...
A new knowledge distillation method compresses large pre-trained models into lightweight detectors that identify vulnerabilities in Python code with Macro-F1 ...
A new multimodal transformer framework detects REM sleep behavior disorder with an AUC of 0.95 while running in 28 milliseconds, ...
A self-supervised, distillation-guided AI framework identifies cloud layers in multi-wavelength Raman lidar data and transfers to unseen CARLNET sites without ...
A study of nearly 3,000 UK police incident logs shows fine-tuned language models can estimate vulnerability prevalence, but only after ...
A new open access survey in Artificial Intelligence Review organises open-ended visual segmentation into three research directions and maps the ...
A new teacher-student framework aggregates knowledge from multiple medical imaging datasets and consistently improves segmentation, classification, and detection performance across ...
A knowledge-distilled convolutional network reached 92.64 percent accuracy on an independent breast ultrasound dataset, outperforming chief physicians in a retrospective ...
A knowledge-distilled pyramid transformer with reduced attention achieved F1-scores of 90.92%, 97.76% and 94.59% on three 32 × 32-pixel image-classification ...
A new distillation framework that adjusts its temperature per language and sample compresses a 560-million-parameter multilingual model into a 66-million-parameter ...
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© 2026 Scienmag - Science Magazine