Papers by Masaki Sakata

1 papers
On Entity Identification in Language Models (2025.findings-acl)

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Challenge: Existing work has shed light on the internal mechanisms of language models that can recall factual knowledge composed of entities and relations.
Approach: They propose a framework analogous to clustering quality metrics to analyze the correspondence between entities and their mentions.
Outcome: The proposed framework is analogous to clustering quality metrics.

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