Yury Zemlyanskiy

25 papers A* 5A 1B 2Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Composer 2 Technical Report. CoRR Aaron Chan, Ahmed Shalaby, Alexander Wettig, Aman Sanger, Andrew Zhai, Anurag Ajay, Ashvin Nair, Charlie Snell, Chen Lu, Chen Shen, Emily Jia, Federico Cassano, Hanpeng Liu, Haoyu Chen, Henry Wildermuth, Jacob Jackson, Janet Li, Jediah Katz, Jiajun Yao, Joey Hejna, Josh Warner, Julius Vering, Kevin Frans, Lee Danilek, Less Wright, Lujing Cen, Luke Melas-Kyriazi, Michael Truell, Michiel de Jong, Naman Jain, Nate Schmidt, Nathan Wang, Niklas Muennighoff, Oleg Rybkin, Paul Loh, Phillip Kravtsov, Rishabh Yadav, Sahil Shah, Sam Kottler, Alexander M. Rush, Shengtong Zhang, Shomil Jain, Sriram Sankar, Stefan Heule, Stuart H. Sul, Sualeh Asif, Victor Rong, Wanqi Zhu, William Lin, Yuchen Wu, Yuri Volkov, Yury Zemlyanskiy, Zack Holbrook, Zhiyuan Zhang
2024	—	`conf`	MEMORY-VQ: Compression for Tractable Internet-Scale Memory. NAACL (Short Papers) Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontañón, William W. Cohen, Sumit Sanghai, Joshua Ainslie
2023	A*	`conf`	Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models. ICML Luke Vilnis, Yury Zemlyanskiy, Patrick Murray, Alexandre Tachard Passos, Sumit Sanghai
2023	A*	`conf`	CoLT5: Faster Long-Range Transformers with Conditional Computation. EMNLP Joshua Ainslie, Tao Lei, Michiel de Jong, Santiago Ontañón, Siddhartha Brahma, Yury Zemlyanskiy, David C. Uthus, Mandy Guo, James Lee-Thorp, Yi Tay, Yun-Hsuan Sung, Sumit Sanghai
2023	J	`jnl`	CoLT5: Faster Long-Range Transformers with Conditional Computation. CoRR Joshua Ainslie, Tao Lei, Michiel de Jong, Santiago Ontañón, Siddhartha Brahma, Yury Zemlyanskiy, David C. Uthus, Mandy Guo, James Lee-Thorp, Yi Tay, Yun-Hsuan Sung, Sumit Sanghai
2023	—	`conf`	FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. ACL (Findings) Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William W. Cohen
2023	J	`jnl`	GLIMMER: generalized late-interaction memory reranker. CoRR Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Sumit Sanghai, William W. Cohen, Joshua Ainslie
2023	A*	`conf`	GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints. EMNLP Joshua Ainslie, James Lee-Thorp, Michiel de Jong, Yury Zemlyanskiy, Federico Lebrón, Sumit Sanghai
2023	J	`jnl`	GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints. CoRR Joshua Ainslie, James Lee-Thorp, Michiel de Jong, Yury Zemlyanskiy, Federico Lebrón, Sumit Sanghai
2023	J	`jnl`	MEMORY-VQ: Compression for Tractable Internet-Scale Memory. CoRR Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontañón, William W. Cohen, Sumit Sanghai, Joshua Ainslie
2023	A*	`conf`	Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. ICML Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen
2023	J	`jnl`	Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. CoRR Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen
2022	J	`jnl`	Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models. CoRR Luke Vilnis, Yury Zemlyanskiy, Patrick Murray, Alexandre Passos, Sumit Sanghai
2022	J	`jnl`	FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. CoRR Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William W. Cohen
2022	B	`conf`	Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing. COLING Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie, Panupong Pasupat, Peter Shaw, Linlu Qiu, Sumit Sanghai, Fei Sha
2022	J	`jnl`	Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing. CoRR Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie, Panupong Pasupat, Peter Shaw, Linlu Qiu, Sumit Sanghai, Fei Sha
2022	A*	`conf`	Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. ICLR Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William W. Cohen
2021	A	`conf`	DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. EACL Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein
2021	J	`jnl`	DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. CoRR Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein
2021	J	`jnl`	Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. CoRR Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William W. Cohen
2021	—	`conf`	ReadTwice: Reading Very Large Documents with Memories. NAACL-HLT Yury Zemlyanskiy, Joshua Ainslie, Michiel de Jong, Philip Pham, Ilya Eckstein, Fei Sha
2021	J	`jnl`	ReadTwice: Reading Very Large Documents with Memories. CoRR Yury Zemlyanskiy, Joshua Ainslie, Michiel de Jong, Philip Pham, Ilya Eckstein, Fei Sha
2019	—	`conf`	Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text. ACL (1) Lukas Ruff, Yury Zemlyanskiy, Robert A. Vandermeulen, Thomas Schnake, Marius Kloft
2018	B	`conf`	Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner. CoNLL Yury Zemlyanskiy, Fei Sha
2018	J	`jnl`	Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner. CoRR Yury Zemlyanskiy, Fei Sha