tracked author

Wangding Zeng

DeepSeek researcher, DeepSeekMoE coauthor, DeepSeek-V2 MLA architecture innovations contributor, and Engram coauthor. OpenReview lists DeepSeek researcher with confirmed DeepSeek and BUPT emails; Scholar and Hugging Face profiles align with the DeepSeek identity. No high-confidence personal X account was found.

3 archived notes X: not-found Hugging Face

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按论文归档时间排序，展示该作者在本站已经出现的材料。

归档 Jun 24, 2026

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

用细粒度专家切分和共享专家隔离提高 routed expert 的专门化程度。

待审阅 2401.06066-deepseekmoe-expert-specialization MoE Architecture

归档 Jun 24, 2026

Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

用 hashed N gram lookup 和 context aware gating 增加可离线扩展的 conditional memory。

待审阅 2601.07372-conditional-memory-engram-scalable-lookup Memory Architecture MoE Architecture

归档 Jun 23, 2026

DeepSeek V2: A Strong, Economical, and Efficient Mixture of Experts Language Model

把 per head K/V cache 改成由 hidden state 下投影得到的共享 KV latent，并用 projection absorption 与 decoupled RoPE 避免恢复历史 K/V。

待审阅 2405.04434-deepseek-v2-mla-moe-efficient-llm KV Cache MoE Architecture MoE Systems