Papers by Rhitabrat Pokharel
Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples (2023.starsem-1)
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| Challenge: | Prior work typically defines out-of-domain (OOD) or out- of-distribution (OOdist) samples as those that originate from dataset(s) or source(s), but for the same task. |
| Approach: | They propose to use supervised methods to identify OOD/OODist samples without using a trained model. |
| Outcome: | The proposed method is able to identify OOD/OODist samples without a trained model. |