Jinyi Hu

2 articles on SOTA Papers

DeepSeek Cuts KV Cache Footprint Fourfold

A causal encoder-decoder MoE pairs cross-layer sparse-attention reuse with FP4 caching to reduce global context memory to 890 bytes per token.

Sep 19, 20264 min2609.19969

Mini Activations Narrow Frontier Model Gaps

A sparse 229.9B-parameter MoE activates 9.8B parameters per token and pairs agent-native data with RL for coding, cowork, and reasoning tasks.

Jul 31, 20265 min2605.26494