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cs.LG2026
VeriScale: Adversarial Test-Suite Scaling for Verifiable Code Generation
Yifan Bai, Xiaoyang Liu, Zihao Mou +7
As large language models (LLMs) are increasingly deployed for software engineering, constructing high-quality benchmarks is crucial for evaluating not just the functional correctne…
cs.LG2024
On Multi-Stage Loss Dynamics in Neural Networks: Mechanisms of Plateau and Descent Stages
Zheng-An Chen, Tao Luo, GuiHong Wang
The multi-stage phenomenon in the training loss curves of neural networks has been widely observed, reflecting the non-linearity and complexity inherent in the training process. In…