4 papers
Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning
Md. Rokon Mia, Rakib Hossain Sajib, Abdullah Al Noman +2
Early detection of rice leaf diseases is critical, as rice is a staple crop supporting a substantial share of the world's population. Timely identification of these diseases enable…
Cross-Lingual Probing and Community-Grounded Analysis of Gender Bias in Low-Resource Bengali
Md Asgor Hossain Reaj, Rajan Das Gupta, Jui Saha Pritha +4
Large Language Models (LLMs) have achieved significant success in recent years; yet, issues of intrinsic gender bias persist, especially in non-English languages. Although current…
ViMoNet: A Multimodal Vision-Language Framework for Human Behavior Understanding from Motion and Video
Rajan Das Gupta, Lei Wei, Md Yeasin Rahat +3
This study investigates the use of large language models (LLMs) for human behavior understanding by jointly leveraging motion and video data. We argue that integrating these comple…
BanglaASTE: A Novel Framework for Aspect-Sentiment-Opinion Extraction in Bangla E-commerce Reviews Using Ensemble Deep Learning
Ariful Islam, Md Rifat Hossen, Abir Ahmed +1
Aspect-Based Sentiment Analysis (ABSA) has emerged as a critical tool for extracting fine-grained sentiment insights from user-generated content, particularly in e-commerce and soc…