Raymond Li
Raymond Li
ServiceNow Research
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Towards deep conversational recommendations
R Li, S Ebrahimi Kahou, H Schulz, V Michalski, L Charlin, C Pal
Advances in neural information processing systems 31, 2018
Starcoder: may the source be with you!
R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ...
arXiv preprint arXiv:2305.06161, 2023
On extractive and abstractive neural document summarization with transformer language models
J Pilault, R Li, S Subramanian, C Pal
Proceedings of the 2020 conference on empirical methods in natural language …, 2020
The stack: 3 tb of permissively licensed source code
D Kocetkov, R Li, LB Allal, J Li, C Mou, CM Ferrandis, Y Jernite, M Mitchell, ...
arXiv preprint arXiv:2211.15533, 2022
SantaCoder: don't reach for the stars!
LB Allal, R Li, D Kocetkov, C Mou, C Akiki, CM Ferrandis, N Muennighoff, ...
arXiv preprint arXiv:2301.03988, 2023
Evaluating the text-to-sql capabilities of large language models
N Rajkumar, R Li, D Bahdanau
arXiv preprint arXiv:2204.00498, 2022
On extractive and abstractive neural document summarization with transformer language models
S Subramanian, R Li, J Pilault, C Pal
arXiv preprint arXiv:1909.03186, 2019
DuoRAT: towards simpler text-to-SQL models
T Scholak, R Li, D Bahdanau, H de Vries, C Pal
arXiv preprint arXiv:2010.11119, 2020
StarCoder 2 and The Stack v2: The Next Generation
A Lozhkov, R Li, LB Allal, F Cassano, J Lamy-Poirier, N Tazi, A Tang, ...
arXiv preprint arXiv:2402.19173, 2024
Method of and system for training machine learning algorithm to generate text summary
S Subramanian, R Li, J Pilault, PAL Christophe
US Patent 11,397,892, 2022
bytesteady: Fast classification using byte-level n-gram embeddings
X Zhang, A Drouin, R Li
arXiv preprint arXiv:2106.13302, 2021
Recommandations Conversationnelles dans le Domaine des Films
R Li
Ecole Polytechnique, Montreal (Canada), 2018
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models Download PDF
S Subramanian, R Li, J Pilault, C Pal
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