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08/06/2023
PromptSum: Parameter-Efficient Controllable Abstractive Summarization
Prompt tuning (PT), a parameter-efficient technique that only tunes the ...
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04/02/2023
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets
Low-quality data can cause downstream problems in high-stakes applicatio...
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12/19/2022
Unsupervised Summarization Re-ranking
With the rise of task-specific pre-training objectives, abstractive summ...
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10/17/2022
Towards Summary Candidates Fusion
Sequence-to-sequence deep neural models fine-tuned for abstractive summa...
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03/13/2022
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization
Sequence-to-sequence neural networks have recently achieved great succes...
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04/08/2019
Diabetes Mellitus Forecasting Using Population Health Data in Ontario, Canada
Leveraging health administrative data (HAD) datasets for predicting the ...
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05/08/2018
ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs
Generative Adversarial Networks (GANs) have seen steep ascension to the ...
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01/27/2018
Gradient descent revisited via an adaptive online learning rate
Any gradient descent optimization requires to choose a learning rate. Wi...
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06/17/2017
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text
The YouTube-8M video classification challenge requires teams to classify...
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05/26/2017
