Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution. Retrieved May 24, 2026, from https://4ort.xyz/entity/ac-mmoe-a-multi-gate-mixture-of-experts-model-based-on-attention-and-convolution
MLA“AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ac-mmoe-a-multi-gate-mixture-of-experts-model-based-on-attention-and-convolution.
BibTeX@misc{4ortxyz_ac-mmoe-a-multi-gate-mixture-of-experts-model-based-on-attention-and-convolution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution}}, year = {2026}, url = {https://4ort.xyz/entity/ac-mmoe-a-multi-gate-mixture-of-experts-model-based-on-attention-and-convolution}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution — https://4ort.xyz/entity/ac-mmoe-a-multi-gate-mixture-of-experts-model-based-on-attention-and-convolution (retrieved 2026-05-24)
