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When Self-Consistency Backfires: Majority Vote Hurts the Majority of Hard Science Problems for Small LLMs
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Research shows majority-vote self-consistency degrades accuracy on complex reasoning tasks for small LLMs like Qwen2.5-7B and Llama-3-8B.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 23 October 2026
- Collected by OneBench
- 13 Aug 2026, 15:58 UK
Stored source excerpt
arXiv:2608.11403v1 Announce Type: cross Abstract: Self-consistency (SC) via majority vote is a widely used way to spend inference-time compute: sample N chains of thought, return…
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