[go: up one dir, main page]

Follow
Orhan Firat
Orhan Firat
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Palm: Scaling language modeling with pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
Journal of Machine Learning Research 24 (240), 1-113, 2023
83282023
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
69922023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
34392024
Gpipe: Efficient training of giant neural networks using pipeline parallelism
Y Huang, Y Cheng, A Bapna, O Firat, D Chen, M Chen, HJ Lee, J Ngiam, ...
Advances in neural information processing systems 32, 2019
24002019
Palm 2 technical report
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
22522023
Gshard: Scaling giant models with conditional computation and automatic sharding
D Lepikhin, HJ Lee, Y Xu, D Chen, O Firat, Y Huang, M Krikun, N Shazeer, ...
arXiv preprint arXiv:2006.16668, 2020
19042020
Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities
G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ...
arXiv preprint arXiv:2507.06261, 2025
13372025
Xtreme: A massively multilingual multi-task benchmark for evaluating cross-lingual generalisation
J Hu, S Ruder, A Siddhant, G Neubig, O Firat, M Johnson
International conference on machine learning, 4411-4421, 2020
11682020
Glam: Efficient scaling of language models with mixture-of-experts
N Du, Y Huang, AM Dai, S Tong, D Lepikhin, Y Xu, M Krikun, Y Zhou, ...
International conference on machine learning, 5547-5569, 2022
10752022
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 2016
10232016
Multi-way, multilingual neural machine translation with a shared attention mechanism
O Firat, K Cho, Y Bengio
arXiv preprint arXiv:1601.01073, 2016
7522016
Massively multilingual neural machine translation
R Aharoni, M Johnson, O Firat
arXiv preprint arXiv:1903.00089, 2019
6962019
On using monolingual corpora in neural machine translation
C Gulcehre, O Firat, K Xu, K Cho, L Barrault, HC Lin, F Bougares, ...
arXiv preprint arXiv:1503.03535, 2015
6932015
The best of both worlds: Combining recent advances in neural machine translation
MX Chen, O Firat, A Bapna, M Johnson, W Macherey, G Foster, L Jones, ...
Proceedings of the 56th annual meeting of the association for computational …, 2018
5852018
Simple, scalable adaptation for neural machine translation
A Bapna, O Firat
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
5322019
Massively multilingual neural machine translation in the wild: Findings and challenges
N Arivazhagan, A Bapna, O Firat, D Lepikhin, M Johnson, M Krikun, ...
arXiv preprint arXiv:1907.05019, 2019
4872019
Nematus: a toolkit for neural machine translation
R Sennrich, O Firat, K Cho, A Birch, B Haddow, J Hitschler, ...
Proceedings of the Software Demonstrations of the 15th Conference of the …, 2017
4692017
Reinforced self-training (rest) for language modeling
C Gulcehre, TL Paine, S Srinivasan, K Konyushkova, L Weerts, A Sharma, ...
arXiv preprint arXiv:2308.08998, 2023
3712023
Zero-resource translation with multi-lingual neural machine translation
O Firat, B Sankaran, Y Al-Onaizan, FTY Vural, K Cho
arXiv preprint arXiv:1606.04164, 2016
2942016
When scaling meets llm finetuning: The effect of data, model and finetuning method
B Zhang, Z Liu, C Cherry, O Firat
arXiv preprint arXiv:2402.17193, 2024
2692024
The system can't perform the operation now. Try again later.
Articles 1–20