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07/04/2023
On Conditional and Compositional Language Model Differentiable Prompting
Prompts have been shown to be an effective method to adapt a frozen Pret...
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03/06/2023
Faithfulness-Aware Decoding Strategies for Abstractive Summarization
Despite significant progress in understanding and improving faithfulness...
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05/04/2022
Efficient Few-Shot Fine-Tuning for Opinion Summarization
Abstractive summarization models are typically pre-trained on large amou...
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04/13/2022
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations
Despite recent improvements in abstractive summarization, most current a...
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08/05/2021
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints
We analyze the tradeoff between factuality and abstractiveness of summar...
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04/17/2021
Transductive Learning for Abstractive News Summarization
Pre-trained language models have recently advanced abstractive summariza...
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07/03/2019
Multi-Task Networks With Universe, Group, and Task Feature Learning
We present methods for multi-task learning that take advantage of natura...
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11/01/2017
Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding
This paper presents the design of the machine learning architecture that...
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06/14/2017