Papers by Ka Sing He

1 papers
Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages (2026.acl-short)

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Challenge: Existing studies show that performance across low-resource settings is variable, resulting in a significant barrier for the MT community.
Approach: They propose to use FRED Difficulty Metrics to contextualize reported performance across different language pairs to determine whether breakthroughs reported in other contexts are artifacts of benchmark collection.
Outcome: The proposed metrics explain a significant portion of result variability rather than model capability.

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