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The University of British Columbia
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Agents still struggle to accurately predict personalized workflows, with current models showing significant room for improvement despite promising advancements.
LQM reveals that traditional MT evaluation metrics miss critical dialect-specific errors, highlighting the need for linguistically informed assessment frameworks.
