@article{zhida2026,
title = {MixEmb: Importance-Aware Quantization and Caching Co-Design for Industrial Decentralized Embedding Training},
author = {Jiang, Zhida and Chen, Zhen and Xing, Zhaolong and Wang, Jiaxing and Gao, Saixing and Yuan, Baopeng and Wang, Hao and Xu, Yin and Liu, Lin and Wang, Dongyue and Zhang, Ke},
journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track},
year = {2026},
month = {Jan},
}
Jiang, Zhida et al. (2026). MixEmb: Importance-Aware Quantization and Caching Co-Design for Industrial Decentralized Embedding Training. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track.
Jiang, Zhida, et al.. "MixEmb: Importance-Aware Quantization and Caching Co-Design for Industrial Decentralized Embedding Training." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track, 2026.
Jiang, Zhida, et al.. "MixEmb: Importance-Aware Quantization and Caching Co-Design for Industrial Decentralized Embedding Training." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track (2026).
Jiang, Zhida et al., 2026. MixEmb: Importance-Aware Quantization and Caching Co-Design for Industrial Decentralized Embedding Training. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track.
TY - JOUR
TI - MixEmb: Importance-Aware Quantization and Caching Co-Design for Industrial Decentralized Embedding Training
AU - Jiang, Zhida
AU - Chen, Zhen
AU - Xing, Zhaolong
AU - Wang, Jiaxing
AU - Gao, Saixing
AU - Yuan, Baopeng
AU - Wang, Hao
AU - Xu, Yin
AU - Liu, Lin
AU - Wang, Dongyue
AU - Zhang, Ke
PY - 2026
JO - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track
ER -