1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2024
LongWanjuan: Towards Systematic Measurement for Long Text Quality
Kai Lv, Xiaoran Liu, Qipeng Guo +4
The quality of training data are crucial for enhancing the long-text capabilities of foundation models. Despite existing efforts to refine data quality through heuristic rules and…
cs.CL2023★ 1 cited
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge
Vasudha Varadarajan, Swanie Juhng, Syeda Mahwish +4
While transformer-based systems have enabled greater accuracies with fewer training examples, data acquisition obstacles still persist for rare-class tasks -- when the class label…