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论文解决了什么问题
Neural scaling laws are foundational for language model development, yet standard formulations systematically under- and overestimate loss at data-scarce and overtraining extremes. This failure originates in the underlying assumption that model size and training data impact the loss independently. To address this, we i...
适合谁阅读
生成模型安全与对齐系统基础设施
可核验的原论文来源和作者
- 作者
- 作者信息暂未从原始元数据中确认
- 来源
- arXiv
- 论文 ID
- 2608.07222