Yury Zemlyanskiy
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
8
Active years
2018–2024
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | NAACL | MEMORY-VQ: Compression for Tractable Internet-Scale Memory. | Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontan, William W. Cohen, Sumit Sanghai, Joshua Ainslie |
| 2023 | ACL | FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. | Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William W. Cohen |
| 2023 | EMNLP | CoLT5: Faster Long-Range Transformers with Conditional Computation. | Joshua Ainslie, Tao Lei, Michiel de Jong, Santiago Ontan, Siddhartha Brahma, Yury Zemlyanskiy, David C. Uthus, Mandy Guo, James Lee-Thorp, Yi Tay, Yun-Hsuan Sung, Sumit Sanghai |
| 2023 | EMNLP | GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints. | Joshua Ainslie, James Lee-Thorp, Michiel de Jong, Yury Zemlyanskiy, Federico Lebrn, Sumit Sanghai |
| 2023 | ICML | Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. | Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen |
| 2023 | ICML | Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models. | Luke Vilnis, Yury Zemlyanskiy, Patrick Murray, Alexandre Tachard Passos, Sumit Sanghai |
| 2022 | COLING | Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing. | Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie, Panupong Pasupat, Peter Shaw, Linlu Qiu, Sumit Sanghai, Fei Sha |
| 2022 | ICLR | Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. | Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William W. Cohen |
| 2021 | EACL | DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. | Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein |
| 2021 | NAACL | ReadTwice: Reading Very Large Documents with Memories. | Yury Zemlyanskiy, Joshua Ainslie, Michiel de Jong, Philip Pham, Ilya Eckstein, Fei Sha |
| 2019 | ACL | Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text. | Lukas Ruff, Yury Zemlyanskiy, Robert A. Vandermeulen, Thomas Schnake, Marius Kloft |
| 2018 | CoNLL | Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner. | Yury Zemlyanskiy, Fei Sha |