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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 51–71 of 71 papers

TitleStatusHype
Analyzing and Evaluating Correlation Measures in NLG Meta-EvaluationCode0
Are LLM-based Evaluators Confusing NLG Quality Criteria?Code0
A Study of Automatic Metrics for the Evaluation of Natural Language ExplanationsCode0
Better than Random: Reliable NLG Human Evaluation with Constrained Active SamplingCode0
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation and UnderstandingCode0
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation MetricsCode0
CLSE: Corpus of Linguistically Significant EntitiesCode0
DEBATE: Devil's Advocate-Based Assessment and Text EvaluationCode0
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question AnsweringCode0
Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG EvaluationCode0
Describe me an Aucklet: Generating Grounded Perceptual Category DescriptionsCode0
Long-Form Information Alignment Evaluation Beyond Atomic FactsCode0
Near-Negative Distinction: Giving a Second Life to Human Evaluation DatasetsCode0
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying ReferencesCode0
One Prompt To Rule Them All: LLMs for Opinion Summary EvaluationCode0
OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMsCode0
Perturbation CheckLists for Evaluating NLG Evaluation MetricsCode0
ReFeR: Improving Evaluation and Reasoning through Hierarchy of ModelsCode0
Towards Multiple References Era -- Addressing Data Leakage and Limited Reference Diversity in NLG EvaluationCode0
Unveiling the Achilles' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language ModelsCode0
Why We Need New Evaluation Metrics for NLGCode0
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