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cs.LG2026
A Scaling Theory of Multi-Epoch Pretraining: Late-Time Overfitting and Ensembling
Zhen Yang, Yidi Miao, Blake Bordelon
In the near future language model pretraining will become bound by total data rather than total compute. Such a regime requires revisiting scaling laws and scaling law theory. Moti…
cs.LG2026
CONF-KV: Confidence-Aware KV Cache Eviction with Mixed-Precision Storage for Long-Horizon LLM
Yubo Li, Yidi Miao
Long-horizon LLM inference turns the key--value (KV) cache into the dominant GPU memory consumer and makes per-token attention increasingly expensive. Many common eviction policies…