Papers by Silviu-Florin Gheorghe
Text Classification Under Class Distribution Shift: A Survey (2026.eacl-long)
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| Challenge: | ML models assume that training and test data are sampled from the same distribution, but in daily practice, this assumption is often broken. |
| Approach: | They survey articles studying open-set text classification to understand the distribution shifts and mitigation approaches for each problem setup. |
| Outcome: | The proposed methods can solve problems caused by the shifting class distribution in open-set text classification and related tasks. |