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20232026
most citedEvaluating Large Language Models for Generalization and Robustness via Data Compression

2 citations · 5 across the 9 of their papers we have counts for

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cs.CL2023

Language Model as an Annotator: Unsupervised Context-aware Quality Phrase Generation

Zhihao Zhang, Yuan Zuo, Chenghua Lin +1

Phrase mining is a fundamental text mining task that aims to identify quality phrases from context. Nevertheless, the scarcity of extensive gold labels datasets, demanding substant…

cs.CL2023★ 1 cited

LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction

Yucheng Li, Frank Guerin, Chenghua Lin

Data contamination in evaluation is getting increasingly prevalent with the emergence of language models pre-trained on super large, automatically crawled corpora. This problem lea…