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LLMs can achieve near-human performance on hard-labels but struggle with soft-labels, revealing a critical gap in automatic evaluation methods that NAPHA effectively bridges.
Task decomposition in LLMaJ doesn't boost NLG evaluation performance鈥攊t's the human labels that matter.
