Papers by Ruwad Naswan

1 papers
Too Late to Train, Too Early To Use? A Study on Necessity and Viability of Low-Resource Bengali LLMs (2025.coling-main)

Copied to clipboard

Challenge: a new generation of English-oriented Large Language Models significantly outperforms older LLMs on low-resource languages.
Approach: They compare Bengali-oriented LLMs with open-weight and closed-source LLM models . they conclude that there is a need for a Bengali model, but lacks high-quality pretraining data .
Outcome: The proposed model outperforms existing models on Bengali on low-resource languages . the results highlight biases in machine-translated datasets used for Bengali NLP tasks .

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations