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Self- and Other-Labels Induce Bidirectional Bias in LLM Judges
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
New research shows LLM-as-a-judge systems exhibit bidirectional bias based on self- and other-labeling, independent of text quality.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 19 October 2026
- Collected by OneBench
- 20 Aug 2026, 20:40 UK
- Original headline
- Self- and Other-Labels Induce Bidirectional Bias in LLM Judges ↗
Stored source excerpt
arXiv:2608.18091v1 Announce Type: new Abstract: As LLM-as-a-judge systems become increasingly widespread, self-preference in LLMs -- the tendency to favor one's own outputs -- raises growing…
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