Papers by Jacek Wiland

1 papers
BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models (2024.findings-naacl)

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Challenge: Existing methods to evaluate LMs rely on objective function and are therefore limited to masked or causal LM types.
Approach: They propose an approach that uses an LM’s inherent ability to estimate the log-likelihood of any given textual statement.
Outcome: The proposed framework can probe for knowledge across different LM types.

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