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Dingyu Yao

Dingyu Yao has 2 papers in our library, in 2026, most of them on Efficient models & compression, Language models & pretraining; often with Chenxu Yang, Weiping Wang, Zheng Lin.

2 papers in our library · 2026

OpenAlex · h-index 0 · 13 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 37 times in our library · ⭐ Paper Stars ranking: #10159

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

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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. Self-Distilled RLVR (2026 · 37 citations)
    Training reasoning LLMs with RLVR (for example, GRPO) assigns one sequence-level reward per rollout, so every token receives the same credit.
  2. VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector Quantization (2026)
    During LLM inference, the KV cache grows with context length and takes up a large share of GPU memory. Vector quantization (VQ) can shrink it flexibly across bit-widths, but at very low bit-widths accuracy drops sharply. The authors trace this to outliers in the key cache, which sit far from the learned centroids and…

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 37 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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