Advances in Citation Text Generation: Leveraging Multi-Source Seq2Seq Models and Large Language Models
Citation Text Generation (CTG) in scientific documents often relies on standard summarization techniques, which may not fully capture …
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Explain Like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation
Neural retrieval models (NRMs) have been shown to outperform their statistical counterparts owing to their ability to capture semantic …
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One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text
Active consumption of digital documents has yielded scope for research in various applications, including search. Traditionally, …
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Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency
English proficiency assessments have become a necessary metric for filtering and selecting prospective candidates for both academia and …
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Medical Dead-ends and Learning to Identify High-Risk States and Treatments
Machine learning has successfully framed many sequential decision making problems as either supervised prediction, or optimal …
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What Ails One-Shot Image Segmentation: A Data Perspective
One-shot image segmentation (OSS) methods enable semantic labeling of image pixels without supervised training using an extensive …
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ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors
Image-based virtual try-on involves synthesizing perceptually convincing images of a model wearing a particular garment and has …
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Attributional Robustness Training using Input-Gradient Spatial Alignment
Interpretability is an emerging area of research in trustworthy machine learning. Safe deployment of machine learning system mandates …
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Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition
Visual Speech Recognition (VSR) is the process of recognizing or interpreting speech by watching the lip movements of the speaker. …
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Learning based Methods for Code Runtime Complexity Prediction
Predicting the runtime complexity of a programming code is an arduous task. In fact, even for humans, it requires a subtle analysis and …
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