Yury Zemlyanskiy

Yury Zemlyanskiy has 2 papers in our library, in 2023; often with James Lee-Thorp, Joshua Ainslie, Michiel de Jong.

2 papers in our library · 2023

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

Affiliations

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

Of its works in our library: the number of works on each and its rating among them.

The most cited first (OpenAlex and our library).

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints (2023 · 1,012 citations)
During autoregressive decoding, a Transformer model loads the attention keys and values from memory at every step.
CoLT5: Faster Long-Range Transformers with Conditional Computation (2023 · 83 citations)
Encoding long documents with Transformers is costly. Sparse attention reduces the quadratic attention cost, but the feedforward and projection layers still run on every token and dominate compute in larger models. CoLT5 (Conditional LongT5), from Google Research, extends LongT5 with conditional computation. Each…

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

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

Papers of our library cite their works 636 times (of the 141,840 papers whose bibliographies we read); 44 citing papers with a page here →.

Updated 24 October 2026