Papers by Yuanjun Xiong
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates (2021.acl-long)
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| Challenge: | Using negative flips, we quantify, reduce and analyze regression errors in deep neural networks. |
| Approach: | They propose to quantify, reduce and analyze regression errors in NLP models by negative flips. |
| Outcome: | The proposed model update regression has a prevalent presence across tasks in the GLUE benchmark. |