Sona Elza Simon — accepted AI-conference papers

2025

DeFT-X: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer

EMNLP 2025

Effective cross-lingual transfer remains a critical challenge in scaling the benefits of large language models from high-resource to low-resource languages. Towards this goal, prior studies have explored many approaches to combine task knowledge from task-specific data in a (high-resource) source la

Cited by 0 Source ↗PDF ↗Scholar ↗

2025

LoFTI: Localization and Factuality Transfer to Indian Locales

Sona Elza Simon, Soumen Kumar Mondal, Abhishek Singhania, Sayambhu Sen, Preethi Jyothi

ACL 2025finding

Large language models (LLMs) encode vast amounts of world knowledge acquired via training on large web-scale datasets crawled from the internet. However, the datasets used to train the LLMs typically exhibit a geographical bias towards English-speaking Western countries. This results in LLMs produci…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗