5 citations · 7 across the 8 of their papers we have counts for
8 papers
Data-Augmentation-Based Dialectal Adaptation for LLMs
Fahim Faisal, Antonios Anastasopoulos
This report presents GMUNLP's participation to the Dialect-Copa shared task at VarDial 2024, which focuses on evaluating the commonsense reasoning capabilities of large language mo…
An Efficient Approach for Studying Cross-Lingual Transfer in Multilingual Language Models
Fahim Faisal, Antonios Anastasopoulos
The capacity and effectiveness of pre-trained multilingual models (MLMs) for zero-shot cross-lingual transfer is well established. However, phenomena of positive or negative transf…
Multilingual Text Representation
Fahim Faisal
Modern NLP breakthrough includes large multilingual models capable of performing tasks across more than 100 languages. State-of-the-art language models came a long way, starting fr…
Investigation on Machine Learning Based Approaches for Estimating the Critical Temperature of Superconductors
Fatin Abrar Shams, Rashed Hasan Ratul, Ahnaf Islam Naf +4
Superconductors have been among the most fascinating substances, as the fundamental concept of superconductivity as well as the correlation of critical temperature and superconduct…
GlobalBench: A Benchmark for Global Progress in Natural Language Processing
Yueqi Song, Catherine Cui, Simran Khanuja +9
Despite the major advances in NLP, significant disparities in NLP system performance across languages still exist. Arguably, these are due to uneven resource allocation and sub-opt…
GMNLP at SemEval-2023 Task 12: Sentiment Analysis with Phylogeny-Based Adapters
Md Mahfuz Ibn Alam, Ruoyu Xie, Fahim Faisal +1
This report describes GMU's sentiment analysis system for the SemEval-2023 shared task AfriSenti-SemEval. We participated in all three sub-tasks: Monolingual, Multilingual, and Zer…