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Mitigating Scoring Bias in LLM-as-a-Judge via Random Number Generation
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers propose using random number generation to mitigate context-insensitive scoring bias in LLM-as-a-judge evaluation frameworks.
Open sourceOneBench interpretation
Institutional assessment
Hype caution
The academic approach introduces random seed generation into evaluation prompts without proving its reliability under rigorous G-SIB validation standards or multi-turn agent scenarios.