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ORCIDOleksii Kuchaiev
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2020 – today
- 2024
[c17]Aleksander Ficek, Jiaqi Zeng, Oleksii Kuchaiev:
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning. EMNLP 2024: 19425-19432- [c16]Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev:
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. NAACL-HLT 2024: 3371-3384 - [c15]Adithya Renduchintala, Tugrul Konuk, Oleksii Kuchaiev:
Tied-LoRA: Enhancing parameter efficiency of LoRA with Weight Tying. NAACL-HLT 2024: 8694-8705 - [i21]Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Mostofa Patwary, Sandeep Subramanian, Dan Su, Chen Zhu, Deepak Narayanan, Aastha Jhunjhunwala, Ayush Dattagupta, Vibhu Jawa, Jiwei Liu, Ameya Mahabaleshwarkar, Osvald Nitski, Annika Brundyn, James Maki, Miguel Martinez, Jiaxuan You, John Kamalu, Patrick LeGresley, Denys Fridman, Jared Casper, Ashwath Aithal, Oleksii Kuchaiev, Mohammad Shoeybi, Jonathan M. Cohen, Bryan Catanzaro:
Nemotron-4 15B Technical Report. CoRR abs/2402.16819 (2024) - [i20]Gerald Shen, Zhilin Wang, Olivier Delalleau, Jiaqi Zeng, Yi Dong, Daniel Egert, Shengyang Sun, Jimmy J. Zhang, Sahil Jain, Ali Taghibakhshi, Markel Sanz Ausin, Ashwath Aithal, Oleksii Kuchaiev:
NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment. CoRR abs/2405.01481 (2024) - [i19]Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen, Daniel Egert, Jimmy J. Zhang, Makesh Narsimhan Sreedhar, Oleksii Kuchaiev:
HelpSteer2: Open-source dataset for training top-performing reward models. CoRR abs/2406.08673 (2024) - [i18]Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu:
Nemotron-4 340B Technical Report. CoRR abs/2406.11704 (2024) - [i17]Aleksander Ficek, Jiaqi Zeng, Oleksii Kuchaiev:
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning. CoRR abs/2407.04528 (2024) - [i16]Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen, Jiaqi Zeng, Oleksii Kuchaiev, Yi Dong:
HelpSteer2-Preference: Complementing Ratings with Preferences. CoRR abs/2410.01257 (2024) - 2023
- [c14]Sarthak Mittal, Oleksii Hrinchuk, Oleksii Kuchaiev:
Leveraging Synthetic Targets for Machine Translation. ACL (Findings) 2023: 9365-9379 - [c13]Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro:
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. EMNLP 2023: 7763-7786 - [c12]Yi Dong, Zhilin Wang, Makesh Narsimhan Sreedhar, Xianchao Wu, Oleksii Kuchaiev:
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF. EMNLP (Findings) 2023: 11275-11288 - [i15]Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro:
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. CoRR abs/2304.06762 (2023) - [i14]Sarthak Mittal, Oleksii Hrinchuk, Oleksii Kuchaiev:
Leveraging Synthetic Targets for Machine Translation. CoRR abs/2305.06155 (2023) - [i13]Yi Dong, Zhilin Wang, Makesh Narsimhan Sreedhar, Xianchao Wu, Oleksii Kuchaiev:
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF. CoRR abs/2310.05344 (2023) - [i12]Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev:
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. CoRR abs/2311.09528 (2023) - [i11]Adithya Renduchintala, Tugrul Konuk, Oleksii Kuchaiev:
Tied-Lora: Enhacing parameter efficiency of LoRA with weight tying. CoRR abs/2311.09578 (2023) - 2022
- [c11]Oleksii Hrinchuk, Vahid Noroozi, Ashwinkumar Ganesan, Sarah Campbell, Sandeep Subramanian, Somshubra Majumdar, Oleksii Kuchaiev:
NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022. IWSLT@ACL 2022: 225-231 - [i10]Virginia Adams, Sandeep Subramanian, Mike Chrzanowski, Oleksii Hrinchuk, Oleksii Kuchaiev:
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation. CoRR abs/2206.01137 (2022) - 2021
- [c10]Jian Luo, Jianzong Wang, Ning Cheng, Edward Xiao, Jing Xiao, Georg Kucsko, Patrick K. O'Neill, Jagadeesh Balam, Slyne Deng, Adriana Flores, Boris Ginsburg, Jocelyn Huang, Oleksii Kuchaiev, Vitaly Lavrukhin, Jason Li:
Cross-Language Transfer Learning and Domain Adaptation for End-to-End Automatic Speech Recognition. ICME 2021: 1-6 - [c9]Patrick K. O'Neill, Vitaly Lavrukhin, Somshubra Majumdar, Vahid Noroozi, Yuekai Zhang, Oleksii Kuchaiev, Jagadeesh Balam, Yuliya Dovzhenko, Keenan Freyberg, Michael D. Shulman, Boris Ginsburg, Shinji Watanabe
, Georg Kucsko:
SPGISpeech: 5, 000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition. Interspeech 2021: 1434-1438 - [c8]Sandeep Subramanian, Oleksii Hrinchuk, Virginia Adams, Oleksii Kuchaiev:
NVIDIA NeMo's Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21. WMT@EMNLP 2021: 197-204 - [i9]Patrick K. O'Neill, Vitaly Lavrukhin, Somshubra Majumdar, Vahid Noroozi, Yuekai Zhang, Oleksii Kuchaiev, Jagadeesh Balam, Yuliya Dovzhenko, Keenan Freyberg, Michael D. Shulman, Boris Ginsburg, Shinji Watanabe, Georg Kucsko:
SPGISpeech: 5, 000 hours of transcribed financial audio for fully formatted end-to-end speech recognition. CoRR abs/2104.02014 (2021) - [i8]Sandeep Subramanian, Oleksii Hrinchuk, Virginia Adams, Oleksii Kuchaiev:
NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21. CoRR abs/2111.08634 (2021) - 2020
- [c7]Samuel Kriman, Stanislav Beliaev, Boris Ginsburg, Jocelyn Huang, Oleksii Kuchaiev, Vitaly Lavrukhin, Ryan Leary, Jason Li, Yang Zhang:
Quartznet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions. ICASSP 2020: 6124-6128
2010 – 2019
- 2019
- [c6]Jason Li, Vitaly Lavrukhin, Boris Ginsburg, Ryan Leary, Oleksii Kuchaiev, Jonathan M. Cohen, Huyen Nguyen, Ravi Teja Gadde:
Jasper: An End-to-End Convolutional Neural Acoustic Model. INTERSPEECH 2019: 71-75 - [i7]Jason Li, Vitaly Lavrukhin, Boris Ginsburg, Ryan Leary, Oleksii Kuchaiev, Jonathan M. Cohen, Huyen Nguyen, Ravi Teja Gadde:
Jasper: An End-to-End Convolutional Neural Acoustic Model. CoRR abs/1904.03288 (2019) - [i6]Boris Ginsburg, Patrice Castonguay, Oleksii Hrinchuk, Oleksii Kuchaiev, Vitaly Lavrukhin, Ryan Leary, Jason Li, Huyen Nguyen, Jonathan M. Cohen:
Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks. CoRR abs/1905.11286 (2019) - [i5]Oleksii Kuchaiev, Jason Li, Huyen Nguyen, Oleksii Hrinchuk, Ryan Leary, Boris Ginsburg, Samuel Kriman, Stanislav Beliaev, Vitaly Lavrukhin, Jack Cook, Patrice Castonguay, Mariya Popova, Jocelyn Huang, Jonathan M. Cohen:
NeMo: a toolkit for building AI applications using Neural Modules. CoRR abs/1909.09577 (2019) - 2018
- [c5]Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu:
Mixed Precision Training. ICLR (Poster) 2018 - [i4]Oleksii Kuchaiev, Boris Ginsburg, Igor Gitman, Vitaly Lavrukhin, Carl Case, Paulius Micikevicius:
OpenSeq2Seq: extensible toolkit for distributed and mixed precision training of sequence-to-sequence models. CoRR abs/1805.10387 (2018) - 2017
- [c4]Oleksii Kuchaiev, Boris Ginsburg:
Factorization tricks for LSTM networks. ICLR (Workshop) 2017 - [i3]Oleksii Kuchaiev, Boris Ginsburg:
Factorization tricks for LSTM networks. CoRR abs/1703.10722 (2017) - [i2]Oleksii Kuchaiev, Boris Ginsburg:
Training Deep AutoEncoders for Collaborative Filtering. CoRR abs/1708.01715 (2017) - [i1]Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu:
Mixed Precision Training. CoRR abs/1710.03740 (2017) - 2014
- [c3]Dong Yu, Adam Eversole, Michael L. Seltzer, Kaisheng Yao, Brian Guenter, Oleksii Kuchaiev, Frank Seide, Huaming Wang, Jasha Droppo, Zhiheng Huang, Geoffrey Zweig, Christopher J. Rossbach, Jon Currey:
An introduction to computational networks and the computational network toolkit (invited talk). INTERSPEECH 2014 - 2011
- [j3]Oleksii Kuchaiev, Natasa Przulj:
Integrative network alignment reveals large regions of global network similarity in yeast and human. Bioinform. 27(10): 1390-1396 (2011) - [j2]Oleksii Kuchaiev, Aleksandar Stevanovic, Wayne B. Hayes, Natasa Przulj:
GraphCruch 2: Software tool for network modeling, alignment and clustering. BMC Bioinform. 12: 24 (2011) - 2010
- [c2]Natasa Przulj, Oleksii Kuchaiev, Aleksandar Stevanovic, Wayne B. Hayes:
Geometric Evolutionary Dynamics of Protein Interaction Networks. Pacific Symposium on Biocomputing 2010: 178-189
2000 – 2009
- 2009
- [j1]Oleksii Kuchaiev, Marija Rasajski, Desmond J. Higham, Natasa Przulj:
Geometric De-noising of Protein-Protein Interaction Networks. PLoS Comput. Biol. 5(8) (2009) - [c1]Oleksii Kuchaiev, Natasa Przulj:
Learning the Structure of Protein-Protein Interaction Networks. Pacific Symposium on Biocomputing 2009: 39-50
Coauthor Index
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last updated on 2024-11-15 19:31 CET by the dblp team
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