2 papers
cs.CL2026
EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments
Deyao Zhu, Xin Zhou, Shengling Qin +44
Pretraining scaling laws reveal that model capability improves predictably with data and compute. But learning from real world environments after deployment remains far less unders…
cs.LG2024
An Adaptive Latent Factorization of Tensors Model for Embedding Dynamic Communication Network
Xin Liao, Qicong Hu, Peng Tang
The Dynamic Communication Network (DCN) describes the interactions over time among various communication nodes, and it is widely used in Big-data applications as a data source. As…