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07/28/2023
Uncertainty in Natural Language Generation: From Theory to Applications
Recent advances of powerful Language Models have allowed Natural Languag...
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05/19/2023
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability
In Natural Language Generation (NLG) tasks, for any input, multiple comm...
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10/28/2022
Stop Measuring Calibration When Humans Disagree
Calibration is a popular framework to evaluate whether a classifier know...
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11/10/2019
Understanding Multi-Head Attention in Abstractive Summarization
Attention mechanisms in deep learning architectures have often been used...
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07/01/2019
Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?
Learning algorithms become more powerful, often at the cost of increased...
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06/04/2019
