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Anyi Xu

Anyi Xu has 2 papers in our library, in 2026, most of them on Efficient models & compression; often with Bangcai Lin, Bing Xue, Bingzheng Xu.

2 papers in our library · 2026

No OpenAlex profile matched yet.

📄 2 works in our library · 🔗 Cited 121 times in our library · ⭐ Paper Stars ranking: #6492

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence (2026 · 122 citations)
    Reasoning LLMs improve when they spend more compute at inference time. Standard attention, however, grows quadratically with sequence length, which makes very long inputs and extended agentic workflows costly. DeepSeek-V4 is a preview family of two MoE models, DeepSeek-V4-Pro and DeepSeek-V4-Flash, built to process…
  2. DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression (2026 · 3 citations)
    Long-running AI agents mostly consume input tokens. As a result, serving cost now depends less on attention compute and more on the size of key-value (KV) caches. These caches must fit in HBM, be kept on SSD or host memory for prefix reuse, and be moved over limited bandwidth. DeepSeek-AI presents…

 Co-authors here

11 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 121 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

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