4 citations · 10 across the 13 of their papers we have counts for
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cs.CL2022★ 2 cited
Pruning Pre-trained Language Models Without Fine-Tuning
Ting Jiang, Deqing Wang, Fuzhen Zhuang +2
To overcome the overparameterized problem in Pre-trained Language Models (PLMs), pruning is widely used as a simple and straightforward compression method by directly removing unim…
cs.IR2022
Reweighting Clicks with Dwell Time in Recommendation
Ruobing Xie, Lin Ma, Shaoliang Zhang +2
The click behavior is the most widely-used user positive feedback in recommendation. However, simply considering each click equally in training may suffer from clickbaits and title…