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cs.CL2026
Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures
Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377
To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…
cs.CL2025
Consolidating and Developing Benchmarking Datasets for the Nepali Natural Language Understanding Tasks
Jinu Nyachhyon, Mridul Sharma, Prajwal Thapa +1
The Nepali language has distinct linguistic features, especially its complex script (Devanagari script), morphology, and various dialects,which pose a unique challenge for Natural…
cs.CL2025
Development of Pre-Trained Transformer-based Models for the Nepali Language
Prajwal Thapa, Jinu Nyachhyon, Mridul Sharma +1
Transformer-based pre-trained language models have dominated the field of Natural Language Processing (NLP) for quite some time now. However, the Nepali language, spoken by approxi…