2025
Distributional LLM-as-a-Judge
This work proposes a novel training framework that explicitly aligns the LLM-generated judgment distribution with human evaluation distributions, and incorporates adversarial training to ensure a robust alignment with this true distribution, rather than overfitting to its imperfect approximation.
Lu-Yu Chen, Zeyu Zhang, Hao-Ran Tan et al.
· Neural Information Processin... · 4 citations
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