Answers are grounded in this paper and cite their sources.
Empirical study reveals reasoning trace leakage in LLMs across multiple languages, suggesting potential vulnerabilities.
An empirical study of what twelve current LLMs do when prompted innine target languages (real and constructed) plus an English baseline.960 cells of in-language responses, 108 self-translations, 108 externaltranslations, four pipeline phases, 487 cells flagged-and-recoveredbetween v1 and v4. Findings on reasoning-trace leakage, safety-classifiermis-triggers, training-data gaps, cross-language commitment-directionsteering, and constraint-prompt limits, with raw-data appendices.
No takes yet. Share an insight, caveat, or question.
Bartosz Ptaszyński (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: