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Found 4 papers, 2 papers with code
Robust Text Classification: Analyzing Prototype-Based Networks
Downstream applications often require text classification models to be accurate, robust, and interpretable.
Contextualizing Argument Quality Assessment with Relevant Knowledge
Automatic assessment of the quality of arguments has been recognized as a challenging task with significant implications for misinformation and targeted speech.
Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments
Our three-stage framework natively consolidates prior datasets and methods from existing tasks, like propaganda detection, serving as an overarching evaluation testbed.
Audio Spectral Enhancement: Leveraging Autoencoders for Low Latency Reconstruction of Long, Lossy Audio Sequences
With active research in audio compression techniques yielding substantial breakthroughs, spectral reconstruction of low-quality audio waves remains a less indulged topic.
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