Fedor Moiseev

According to our database, Fedor Moiseev authored at least 6 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Encoder-Decoder Gemma: Improving the Quality-Efficiency Trade-Off via Adaptation.

Biao Zhang, Fedor Moiseev, Joshua Ainslie, Paul Suganthan, Min Ma, Surya Bhupatiraju, Federico Lebrón, Orhan Firat, Armand Joulin, Zhe Dong

CoRR, April, 2025

Gemini Embedding: Generalizable Embeddings from Gemini.

Jinhyuk Lee, Feiyang Chen, Sahil Dua, Daniel Cer, Madhuri Shanbhogue, Iftekhar Naim, Gustavo Hernández Ábrego, Zhe Li, Kaifeng Chen, Henrique Schechter Vera, Xiaoqi Ren, Shanfeng Zhang, Daniel Salz, Michael Boratko, Jay Han, Blair Chen, Shuo Huang, Vikram Rao, Paul Suganthan, Feng Han, Andreas Doumanoglou, Nithi Gupta, Fedor Moiseev, Cathy Yip, Aashi Jain, Simon Baumgartner, Shahrokh Shahi, Frank Palma Gomez, Sandeep Mariserla, Min Choi, Parashar Shah, Sonam Goenka, Ke Chen, Ye Xia, Koert Chen, Sai Meher Karthik Duddu, Yichang Chen, Trevor Walker, Wenlei Zhou, Rakesh Ghiya, Zach Gleicher, Karan Gill, Zhe Dong, Mojtaba Seyedhosseini, Yun-Hsuan Sung, Raphael Hoffmann, Tom Duerig

CoRR, March, 2025

Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks.

Paul Suganthan, Fedor Moiseev, Le Yan, Junru Wu, Jianmo Ni, Jay Han, Imed Zitouni, Enrique Alfonseca, Xuanhui Wang, Zhe Dong

CoRR, March, 2025

2023

SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives.

Fedor Moiseev, Gustavo Hernández Abrego, Péter Dornbach, Imed Zitouni, Enrique Alfonseca, Zhe Dong

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

SKILL: Structured Knowledge Infusion for Large Language Models.

Fedor Moiseev, Zhe Dong, Enrique Alfonseca, Martin Jaggi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2019

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned.

Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, Ivan Titov

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019