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Jointly Measuring Diversity and Quality in Text Generation Models

Research article (Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation, 2019) · cited 43× · AI/ML
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Jointly Measuring Diversity and Quality in Text Generation Models

Summary

Jointly Measuring Diversity and Quality in Text Generation Models is a scholarly article[1].

Key Facts

  • Jointly Measuring Diversity and Quality in Text Generation Models's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Jointly Measuring Diversity and Quality in Text Generation Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/jointly-measuring-diversity-and-quality-in-text-generation-models
MLA “Jointly Measuring Diversity and Quality in Text Generation Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/jointly-measuring-diversity-and-quality-in-text-generation-models.
BibTeX @misc{4ortxyz_jointly-measuring-diversity-and-quality-in-text-generation-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Jointly Measuring Diversity and Quality in Text Generation Models}}, year = {2026}, url = {https://4ort.xyz/entity/jointly-measuring-diversity-and-quality-in-text-generation-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Jointly Measuring Diversity and Quality in Text Generation Models — https://4ort.xyz/entity/jointly-measuring-diversity-and-quality-in-text-generation-models (retrieved 2026-05-24)

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