Evaluating the Impact of Data Scarcity on Model Performance in a Low-Resource Afrikaans Question Answering Model

Uhura: A Benchmark for Evaluating Scientific Question Answering and Truthfulness in Low-Resource African Languages

Evaluations of Large Language Models (LLMs) on knowledge-intensive tasks and factual accuracy often

Impact of High-to-Low Resource Language Data Ratios on Cross-Lingual NER Model Performance

Cross-lingual Named Entity Recognition (NER) leverages knowledge transfer between languages to ident

Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource Languages

Transformer based architectures have shown notable results on many down streaming tasks including qu

Evaluating the Impact of Deep Learning Model Architecture on Sign Language Recognition Accuracy in Low-Resource Context

Deep learning models are well-known for their reliance on large training datasets to achieve optimal

Impact of Multilingual Dense Retriever Model Scaling on Low-Resource WebFAQ 2.0 Performance

We present WebFAQ, a large-scale collection of open-domain question answering datasets derived from

Low Resource Question Answering: An Amharic Benchmarking Dataset