Quazi Sarwar Muhtaseem
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View article: TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking
TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking Open
In this paper, we present TituLLMs, the first large pretrained Bangla LLMs, available in 1b and 3b parameter sizes. Due to computational constraints during both training and inference, we focused on smaller models. To train TituLLMs, we co…
View article: Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition
Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition Open
One of the major challenges for developing automatic speech recognition (ASR) for low-resource languages is the limited access to labeled data with domain-specific variations. In this study, we propose a pseudo-labeling approach to develop…
View article: Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition
Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition Open
Rabindra Nath Nandi, Mehadi Menon, Tareq Muntasir, Sagor Sarker, Quazi Sarwar Muhtaseem, Md. Tariqul Islam, Shammur Chowdhury, Firoj Alam. Proceedings of the First Workshop on Bangla Language Processing (BLP-2023). 2023.