9 citations · 27 across the 13 of their papers we have counts for
6 papers · 1 filter
MVTamperBench: Evaluating Robustness of Vision-Language Models
Amit Agarwal, Srikant Panda, Angeline Charles +8
Multimodal Large Language Models (MLLMs), are recent advancement of Vision-Language Models (VLMs) that have driven major advances in video understanding. However, their vulnerabili…
GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution
Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam +2
Reliable facial expression learning (FEL) involves the effective learning of distinctive facial expression characteristics for more reliable, unbiased and accurate predictions in r…
Exploring Bengali Religious Dialect Biases in Large Language Models with Evaluation Perspectives
Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam +2
While Large Language Models (LLM) have created a massive technological impact in the past decade, allowing for human-enabled applications, they can produce output that contains ste…
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering
Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam +1
Knowledge Graphs (KGs) have proven essential in information processing and reasoning applications because they link related entities and give context-rich information, supporting e…
When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings
Azmine Toushik Wasi, Šerbetar Karlo, Raima Islam +2
Complex chemical structures, like drugs, are usually defined by SMILES strings as a sequence of molecules and bonds. These SMILES strings are used in different complex machine lear…
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam +2
Examining Drug-Drug Interactions (DDIs) is a pivotal element in the process of drug development. DDIs occur when one drug's properties are affected by the inclusion of other drugs.…