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). AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization. Retrieved May 24, 2026, from https://4ort.xyz/entity/ambert-a-pre-trained-language-model-with-multi-grained-tokenization
MLA“AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ambert-a-pre-trained-language-model-with-multi-grained-tokenization.
BibTeX@misc{4ortxyz_ambert-a-pre-trained-language-model-with-multi-grained-tokenization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization}}, year = {2026}, url = {https://4ort.xyz/entity/ambert-a-pre-trained-language-model-with-multi-grained-tokenization}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization — https://4ort.xyz/entity/ambert-a-pre-trained-language-model-with-multi-grained-tokenization (retrieved 2026-05-24)
