3 papers
cs.CL2026
Multilingual in Name Only? Cultural and Linguistic Weaknesses of LLMs in Urdu
Farah Adeeba, Abdul Rafae Khan, Rajesh Bhatt +1
Multilingual large language models (LLMs) are increasingly used for open-ended text generation, yet their behaviour in low-resource languages remains poorly understood. In this wor…
cs.CL2025
A Paradigm Gap in Urdu
Farah Adeeba, Rajesh Bhatt
In this paper, we document a paradigm gap in the combinatorial possibilities of verbs and aspect in Urdu: the perfective form of the -ya: kar construction (e.g. ro-ya: ki: cry-Pfv…
cs.CL2025
UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu
Farah Adeeba, Brian Dillon, Hassan Sajjad +1
Multilingual Large Language Models (LLMs) have shown remarkable performance across various languages; however, they often include significantly less data for low-resource languages…