OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511599" target="_blank" >RIV/00216208:11320/25:10511599 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2025.inlg-main.19" target="_blank" >https://aclanthology.org/2025.inlg-main.19</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs
Original language description
Large Language Models (LLMs) have demonstrated great potential as evaluators of NLG systems, allowing for high-quality, reference-free, and multi-aspect assessments. However, existing LLM-based metrics suffer from two major drawbacks: reliance on proprietary models to generate training data or perform evaluations, and a lack of fine-grained, explanatory feedback. We introduce OpeNLGauge, a fully open-source, reference-free NLG evaluation metric that provides accurate explanations based on individual error spans. OpeNLGauge is available as a two-stage ensemble of larger open-weight LLMs, or as a small fine-tuned evaluation model, with confirmed generalizability to unseen tasks, domains and aspects. Our extensive meta-evaluation shows that OpeNLGauge achieves competitive correlation with human judgments, outperforming state-of-the-art models on certain tasks while maintaining full reproducibility and providing explanations more than twice as accurate.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 18th International Natural Language Generation Conference
ISBN
979-8-89176-321-0
ISSN
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e-ISSN
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Number of pages
46
Pages from-to
292-337
Publisher name
Association for Computational Linguistics
Place of publication
Kerrville, TX, USA
Event location
Hanoi, Vietnam
Event date
Oct 29, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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