Papers by Tamim Jaban

1 papers
NxPlain: A Web-based Tool for Discovery of Latent Concepts (2023.eacl-demo)

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Challenge: Interpretability of deep neural networks has gained a lot of attention in recent years, especially in NLP, where state-of-the-art models are being widely deployed and used in practice.
Approach: They propose to analyze what linguistic and non-linguistic knowledge is learned within deep neural networks and highlight the salient parts of the input.
Outcome: The proposed tool is useful for debugging, unraveling model bias, and for highlighting spurious correlations in a model.

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