The authors propose a multitask GLiNER framework with synthetic data and LLM revalidation for scalable monitoring and classification of dataset usage in academic literature.
arXiv preprint arXiv:2409.15619
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
AI for Monitoring and Classifying Data Used in Research Literature
The authors propose a multitask GLiNER framework with synthetic data and LLM revalidation for scalable monitoring and classification of dataset usage in academic literature.