From 2023 to 2025, the proportion of synthetic data increased from 20%-30% to 50%-60%, becoming a core resource to fill long-tail scenarios. -- Full-process automated toolchain from collection to ...

Why run a huge, costly LLM when a smaller, distilled one can do the job faster, cheaper and with fewer hallucinations? Large language models (LLMs) have rapidly become a cornerstone of modern ...

Abstract: Quantum networks (QNs) enable secure distributed quantum computing and sensing over next-generation optical communication networks by distributing entangled states over optical channels.

Abstract: Knowledge distillation has emerged as a primary solution for anomaly detection, leveraging feature discrepancies between teacher–student (T–S) networks to locate anomalies. However, previous ...