Papers by Gianluca Vico
How Important is ‘Perfect’ English for Machine Translation Prompts? (2026.findings-eacl)
Copied to clipboard
Patrícia Schmidtová, Niyati Bafna, Seth Aycock, Gianluca Vico, Wiktor Kamzela, Kathy Hämmerl, Vilém Zouhar
| Challenge: | Large language models (LLMs) are largely trained on and respond best to English prompts, but are also sensitive to errors in user prompts. |
| Approach: | They propose to model a range of error types exhibited by second language English speakers and quantify their impact on LLM performance. |
| Outcome: | The proposed model is brittle to natural spelling errors but not to errors at the phrasal level, but the variance in quality caused by these errors is lower than the variance over the initial prompt choice. |