From Softmax to Nucleusmax: A Novel Sparse Language Model for Chinese Radiology Report Summarization
Summary
From Softmax to Nucleusmax: A Novel Sparse Language Model for Chinese Radiology Report Summarization is a scholarly article[1].
Key Facts
From Softmax to Nucleusmax: A Novel Sparse Language Model for Chinese Radiology Report Summarization's instance of is recorded as scholarly article[2].
References
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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). From Softmax to Nucleusmax: A Novel Sparse Language Model for Chinese Radiology Report Summarization. Retrieved May 24, 2026, from https://4ort.xyz/entity/from-softmax-to-nucleusmax-a-novel-sparse-language-model-for-chinese-radiology-report-summarization
MLA“From Softmax to Nucleusmax: A Novel Sparse Language Model for Chinese Radiology Report Summarization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/from-softmax-to-nucleusmax-a-novel-sparse-language-model-for-chinese-radiology-report-summarization.
BibTeX@misc{4ortxyz_from-softmax-to-nucleusmax-a-novel-sparse-language-model-for-chinese-radiology-report-summarization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{From Softmax to Nucleusmax: A Novel Sparse Language Model for Chinese Radiology Report Summarization}}, year = {2026}, url = {https://4ort.xyz/entity/from-softmax-to-nucleusmax-a-novel-sparse-language-model-for-chinese-radiology-report-summarization}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): From Softmax to Nucleusmax: A Novel Sparse Language Model for Chinese Radiology Report Summarization — https://4ort.xyz/entity/from-softmax-to-nucleusmax-a-novel-sparse-language-model-for-chinese-radiology-report-summarization (retrieved 2026-05-24)
