Papers by Adi Mayrav Gilady
Location Not Found: Exposing Implicit Local and Global Biases in Multilingual LLMs (2026.acl-long)
Copied to clipboard
Guy Mor-Lan, Omer Goldman, Matan Eyal, Adi Mayrav Gilady, Sivan Eiger, Idan Szpektor, Avinatan Hassidim, Yossi Matias, Reut Tsarfaty
| Challenge: | Multilingual large language models have minimized the fluency gap between languages, but they are exposed to the risk of biases as knowledge and norms may propagate across languages. |
| Approach: | They propose a test set with 2,156 questions in 12 languages to quantify models' biases . they show a global bias towards answers relevant to the US-locale . |
| Outcome: | The proposed model can answer locale-ambiguous questions in 12 languages. |