Fluency as Attack Surface - language-framing and reasoning-trace bleed in frontier LLMs
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.
Authors
- Bartosz Ptaszyński (ORCID: https://orcid.org/0009-0008-1362-891X)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-17
- DOI
- https://doi.org/10.5281/zenodo.20273325
- Primary Topic
- Hate Speech and Cyberbullying Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00