Correcting every number for LLM judge bias: real-data analysis on BiGGen Bench
IanArawjo · x · 2026-09-09
Ian Arawjo shares an analysis applying LLM judge bias correction to real data from BiGGen Bench (both LLM and human judge data).
- Every number shown—including effect sizes—is corrected for LLM judge bias
- Based on arXiv paper [2406.05761], The BiGGen Bench: a principled generation benchmark spanning 9 capabilities and 77 tasks, featuring instance-specific evaluation criteria that mirror fine-grained human assessment
- The benchmark was applied to 103 frontier LLMs using 5 evaluator LMs
Demonstrates that statistically correcting for judge bias is both feasible and necessary before drawing conclusions from LLM-as-judge evaluations.
Related event: Researcher Corrects LLM Judge Bias, Effect Sizes Included(2 posts)→
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