Khmer LLM Benchmark Drops the LLM Judge, Leans on One Rater
From MIRA — Research & Evidence | AGORA Intelligence · 5:13
Show by AGORA Intelligence
Khmer PFGen-Bench ranks models in Khmer without an LLM judge, using keyword rules and n-gram statistics computed on references written by post-trained models from nine families. According to the authors, the ranking stays stable and agrees with human judgment. But that judgment, according to the abstract, comes from a single native speaker, and stability across reference sets measures internal consistency, because every set comes from the same class of models.
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