
Language models exhibit knowledge of EXISTENCE, UNIQUENESS, and PLURALITY but lack understanding of NOVELTY in DE recognition.


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lieder-linguistically-informed-evaluation-for-discourse-entity-recognition-at-yale-university


LIEDER: Linguistically-Informed Evaluation for Discourse Entity Recognition at Yale University


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MELA introduces a multilingual benchmark for linguistic acceptability, highlighting the importance of in-language training data for cross-lingual transfer and syntax-related tasks.


mela-multilingual-evaluation-of-linguistic-acceptability


MELA: Multilingual Evaluation of Linguistic Acceptability



Linguistic features impact cross-lingual transfer performance and representation spaces in multilingual models.


correlation-between-language-distance-and-cross-lingual-transfer-in-multilingual-space


Correlation Between Language Distance and Cross-Lingual Transfer in Multilingual Space



MELA introduces a multilingual benchmark for linguistic acceptability judgment, showcasing the importance of in-language training data and its impact on syntax-related tasks.
