11 citations · 22 across the 14 of their papers we have counts for
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cs.CL2023
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion
Yi-An Lai, Elman Mansimov, Yuqing Xie +1
When upgrading neural models to a newer version, new errors that were not encountered in the legacy version can be introduced, known as regression errors. This inconsistent behavio…
cs.CL2022★ 4 cited
Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data
Taha ValizadehAslani, Yiwen Shi, Jing Wang +5
Classification on long-tailed distributed data is a challenging problem, which suffers from serious class-imbalance and hence poor performance on tail classes with only a few sampl…