Update README.md

README.md

@@ -161,7 +161,7 @@ The evaluation is done using the Masked Next Token Prediction objective.
 - **EWoK**: Works similarly to BLiMP but looks the model's internal world knowledge. Looking at both whter a model has physical and social knowledge. (Ivanova et al., 2024)
 - **Eye Tracking and Self-paced Reading**: Looks at whether the model can mimick the eye tracking and reading time of a human but using surprisal of a word as a proxy for time spent reading a word. (de Varda et al., BRM 2024)
 - **Entity Tracking**: Checks whether a model can keep track of the changes to the states of entities as text/dialogue unfolds. (Kim & Schuster, ACL 2023)
-- **WUGs**: Seeing how well a model can do linguistic generalization. (Hofmann et al., 2024)
+- **WUGs**: Tests morphological generalization in LMs through an adjective nominalization task. (Hofmann et al., 2024)
 
 *Finetuning Tasks*