57 citations · 66 across the 8 of their papers we have counts for
Showing 2021 · cs.CLShow all
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cs.CL2021★ 1 cited
Efficient Domain Adaptation of Language Models via Adaptive Tokenization
Vin Sachidananda, Jason S. Kessler, Yi-an Lai
Contextual embedding-based language models trained on large data sets, such as BERT and RoBERTa, provide strong performance across a wide range of tasks and are ubiquitous in moder…
cs.CL2021★ 57 cited
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
Yixuan Su, Lei Shu, Elman Mansimov +4
Pre-trained language models have been recently shown to benefit task-oriented dialogue (TOD) systems. Despite their success, existing methods often formulate this task as a cascade…
cs.CL2021
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates
Yuqing Xie, Yi-an Lai, Yuanjun Xiong +2
Behavior of deep neural networks can be inconsistent between different versions. Regressions during model update are a common cause of concern that often over-weigh the benefits in…