RESEARCHMonitorWATCHLIST
Generalization Is Stability, Not Accuracy: Multi-Axis Evaluation of LLMs
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Research proposes evaluating LLM generalization via output stability across prompt variations rather than aggregate accuracy scores.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 3 October 2026
- Collected by OneBench
- 4 Oct 2026, 03:02 UK
Stored source excerpt
arXiv:2610.01428v1 Announce Type: cross Abstract: Generalization in large language models (LLMs) is the ability to produce consistent and semantically stable outputs when the same input…
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