Can We Trust This Evaluation? Instance-Level Reliability of LLM-as-a-Judge

arXiv:2610.14029 · cs.LG, cs.AI, stat.ML · Submitted 2026-09-30 · Read on arXiv

cs.LG, cs.AI, stat.ML

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/YangBa78/Evaluation-the-reliability-of-LLM-as-a-Judge

Terminology

• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes

Sources

• SCOPE: Selective Conformal Optimized Pairwise LLM Judging
• Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory
• A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
• Measuring Massive Multitask Language Understanding
• Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
• Can You Trust LLM Judgments? Reliability of LLM-as-a-Judge
• Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
• Self-Preference Bias in LLM-as-a-Judge
• Evaluating Large Language Models at Evaluating Instruction Following
• Wider and Deeper LLM Networks are Fairer LLM Evaluators
• CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation
• Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

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