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On the Position Bias of Large Language Models: A Comprehensive Study
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
An arXiv study reveals that position bias continues to undermine the reliability of retrieval-augmented generation and model evaluations.
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 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2610.22807v1 Announce Type: new Abstract: Recent studies have shown that position bias remains a critical vulnerability in large language models (LLMs), undermining both the integrity…
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