90 citations · 91 across the 8 of their papers we have counts for
4 papers · 1 filter
FourierKAN outperforms MLP on Text Classification Head Fine-tuning
Abdullah Al Imran, Md Farhan Ishmam
In resource constraint settings, adaptation to downstream classification tasks involves fine-tuning the final layer of a classifier (i.e. classification head) while keeping rest of…
Contextual Breach: Assessing the Robustness of Transformer-based QA Models
Asir Saadat, Nahian Ibn Asad
Contextual question-answering models are susceptible to adversarial perturbations to input context, commonly observed in real-world scenarios. These adversarial noises are designed…
BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis
Sadia Alam, Md Farhan Ishmam, Navid Hasin Alvee +3
The widespread availability of code-mixed data can provide valuable insights into low-resource languages like Bengali, which have limited datasets. Sentiment analysis has been a fu…
Visual Robustness Benchmark for Visual Question Answering (VQA)
Md Farhan Ishmam, Ishmam Tashdeed, Talukder Asir Saadat +3
Can Visual Question Answering (VQA) systems perform just as well when deployed in the real world? Or are they susceptible to realistic corruption effects e.g. image blur, which can…