Papers by JoongHoon Kim

1 papers
CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklists (2025.emnlp-main)

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Challenge: Existing evaluation protocols for text generation suffer from rating inconsistencies . lexical overlap-based metrics align poorly with human judgments .
Approach: They propose a checklist-based evaluation framework that improves rating reliability via decomposed binary questions.
Outcome: The proposed framework improves rating reliability by decomposing binary questions . it improves agreement across evaluator models by 0.45 and reduces score variance . human evaluation remains the gold standard, but it #, Equal contribution.

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