Regression-Free Model Updates for Spoken Language Understanding (2023.acl-industry)
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| Challenge: | Recent work has proposed methods for minimizing regressions caused by model updates . focus is on spoken language understanding models, which are unexplored . |
| Approach: | They propose a focal distillation technique to reduce regressions in goal-oriented dialog systems . they also evaluate its effectiveness for key language understanding tasks . |
| Outcome: | The proposed technique outperforms naive supervised training in mislabeled data and label expansion settings. |
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