SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression. Mozaffari, M., Yazdanbakhsh, A., & Dehnavi, M. M. In Singh, A., Fazel, M., Hsu, D., Lacoste-Julien, S., Berkenkamp, F., Maharaj, T., Wagstaff, K., & Zhu, J., editors, Forty-second International Conference on Machine Learning, ICML 2025, Vancouver, BC, Canada, July 13-19, 2025, volume 267, of Proceedings of Machine Learning Research, 2025. PMLR / OpenReview.net.
Paper bibtex @inproceedings{DBLP:conf/icml/MozaffariYD25,
author = {Mohammad Mozaffari and
Amir Yazdanbakhsh and
Maryam Mehri Dehnavi},
editor = {Aarti Singh and
Maryam Fazel and
Daniel Hsu and
Simon Lacoste{-}Julien and
Felix Berkenkamp and
Tegan Maharaj and
Kiri Wagstaff and
Jerry Zhu},
title = {SLiM: One-shot Quantization and Sparsity with Low-rank Approximation
for {LLM} Weight Compression},
booktitle = {Forty-second International Conference on Machine Learning, {ICML}
2025, Vancouver, BC, Canada, July 13-19, 2025},
series = {Proceedings of Machine Learning Research},
volume = {267},
publisher = {{PMLR} / OpenReview.net},
year = {2025},
url = {https://proceedings.mlr.press/v267/mozaffari25a.html},
timestamp = {Wed, 04 Feb 2026 16:54:16 +0100},
biburl = {https://dblp.org/rec/conf/icml/MozaffariYD25.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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