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nlg evaluation

Evaluate the generated text by NLG (Natural Language Generation) systems, like large language models

Papers

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Showing 51–60 of 71 papers

TitleStatusHype
Agreement is overrated: A plea for correlation to assess human evaluation reliability—0
The use of rating and Likert scales in Natural Language Generation human evaluation tasks: A review and some recommendations—0
A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation -- through the Lens of Semantic Similarity Rating—0
WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models—0
Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons—0
Treat the system like a human student: Automatic naturalness evaluation of generated text without reference texts—0
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text—0
CoAScore: Chain-of-Aspects Prompting for NLG Evaluation—0
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts—0
Rethinking Model Evaluation as Narrowing the Socio-Technical Gap—0
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