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). Lawformer: A pre-trained language model for Chinese legal long documents. Retrieved May 24, 2026, from https://4ort.xyz/entity/lawformer-a-pre-trained-language-model-for-chinese-legal-long-documents
MLA“Lawformer: A pre-trained language model for Chinese legal long documents.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lawformer-a-pre-trained-language-model-for-chinese-legal-long-documents.
BibTeX@misc{4ortxyz_lawformer-a-pre-trained-language-model-for-chinese-legal-long-documents_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Lawformer: A pre-trained language model for Chinese legal long documents}}, year = {2026}, url = {https://4ort.xyz/entity/lawformer-a-pre-trained-language-model-for-chinese-legal-long-documents}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Lawformer: A pre-trained language model for Chinese legal long documents — https://4ort.xyz/entity/lawformer-a-pre-trained-language-model-for-chinese-legal-long-documents (retrieved 2026-05-24)
