Kamran Chitsaz, Quentin Fournier, Goncalo Filipe Torcato Mordido and Sarath Chandar Anbil Parthipan
Paper (2024)
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| Department: | Department of Computer Engineering and Software Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/63033/ |
| Conference Title: | Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) |
| Conference Location: | Miami, FL, USA |
| Conference Date(s): | 2024-11-12 - 2024-11-16 |
| Publisher: | Association for Computational Linguistics (ACL) |
| DOI: | 10.18653/v1/2024.findings-emnlp.787 |
| Official URL: | https://doi.org/10.18653/v1/2024.findings-emnlp.78... |
| Date Deposited: | 04 Mar 2025 09:05 |
| Last Modified: | 04 Mar 2025 09:05 |
| Cite in APA 7: | Chitsaz, K., Fournier, Q., Torcato Mordido, G. F., & Anbil Parthipan, S. C. (2024, November). Exploring Quantization for Efficient Pre-Training of Transformer Language Models [Paper]. Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, FL, USA. https://doi.org/10.18653/v1/2024.findings-emnlp.787 |
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