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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 41–50 of 71 papers

TitleStatusHype
Language Model Augmented Relevance Score—0
Large Language Models Are Active Critics in NLG Evaluation—0
A Snapshot of NLG Evaluation Practices 2005 - 2014—0
LLM-based NLG Evaluation: Current Status and Challenges—0
A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating—0
All That's `Human' Is Not Gold: Evaluating Human Evaluation of Generated Text—0
MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation—0
The Pitfalls of Defining Hallucination—0
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text—0
NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation—0
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