Self-Taught AI Model Cuts Speech Translation Errors While Tripling Speed
A new model called M-SREC pairs a lightweight Mistral backbone with self-supervised noise simulation to cut spoken translation error-correction latency ...
A new model called M-SREC pairs a lightweight Mistral backbone with self-supervised noise simulation to cut spoken translation error-correction latency ...
A comparative study of five neural architectures on two datasets found that ELECTRA had the highest full-data accuracy for token-level ...
A matched-budget study of LoRA fine-tuning finds that genetic algorithms and other search optimizers offer no consistent advantage over well-tuned ...
A new comparative study finds that YOLO-World v2 offers the best balance of accuracy, speed, and prompt robustness among open-vocabulary ...
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© 2025 Scienmag - Science Magazine