Transfer Learning for Code-Mixed Data: Do Pretraining Languages Matter? - Kushal Tatariya; Heather C. Lent; Miryam de Lhoneux (WASSA@ACL, 2023)

CreoleVal: Multilingual Multitask Benchmarks for Creoles. - Heather C. Lent; Kushal Tatariya; Raj Dabre; Yiyi Chen 002; Marcell Fekete; Esther Ploeger; Li Zhou 010; Hans Erik Heje; Diptesh Kanojia; Paul Belony; Marcel Bollmann; Loïc Grobol; et al. (CoRR, 2023)

Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models. - Kushal Tatariya; Vladimir Araujo; Thomas Bauwens; Miryam de Lhoneux (EMNLP, 2024)

Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification. - Kushal Tatariya; Heather C. Lent; Johannes Bjerva; Miryam de Lhoneux (SIGTYPE, 2024)

How Good is Your Wikipedia? - Kushal Tatariya; Artur Kulmizev; Wessel Poelman; Esther Ploeger; Marcel Bollmann; Johannes Bjerva; Jiaming Luo; Heather C. Lent; Miryam de Lhoneux (CoRR, 2024)

CreoleVal: Multilingual Multitask Benchmarks for Creoles. - Heather C. Lent; Kushal Tatariya; Raj Dabre; Yiyi Chen 002; Marcell Fekete; Esther Ploeger; Li Zhou 010; Ruth-Ann Armstrong; Abee Eijansantos; Catriona Malau; Hans Erik Heje; Ernests Lavrinovics; et al. (Trans. Assoc. Comput. Linguistics, 2024)