SOTAVerified

nlg evaluation

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 41–50 of 71 papers

TitleStatusHype
NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation—0
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation MetricsCode0
A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating—0
A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation -- through the Lens of Semantic Similarity Rating—0
The Authenticity Gap in Human Evaluation—0
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications—0
Near-Negative Distinction: Giving a Second Life to Human Evaluation DatasetsCode0
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation and UnderstandingCode0
Active Evaluation: Efficient NLG Evaluation with Few Pairwise ComparisonsCode1
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text—0
Show:102550
← PrevPage 5 of 8Next →

No leaderboard results yet.