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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 11–20 of 71 papers

TitleStatusHype
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language GenerationCode1
Long-Form Information Alignment Evaluation Beyond Atomic FactsCode0
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts—0
DeepSeek vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization?—0
OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMsCode0
Exploring the Multilingual NLG Evaluation Abilities of LLM-Based Evaluators—0
SAGEval: The frontiers of Satisfactory Agent based NLG Evaluation for reference-free open-ended text—0
Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking—0
Analyzing and Evaluating Correlation Measures in NLG Meta-EvaluationCode0
Large Language Models Are Active Critics in NLG Evaluation—0
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