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Found 5 papers, 1 papers with code
Towards Precise Observations of Neural Model Robustness in Classification
In deep learning applications, robustness measures the ability of neural models that handle slight changes in input data, which could lead to potential safety hazards, especially in safety-critical applications.
Label-Free Topic-Focused Summarization Using Query Augmentation
This study introduces a novel method, Augmented-Query Summarization (AQS), for topic-focused summarization without the need for extensive labelled datasets, leveraging query augmentation and hierarchical clustering.
Similarity between Units of Natural Language: The Transition from Coarse to Fine Estimation
My research goal in this thesis is to develop regression models that account for similarities between language units in a more refined way.
Universal Evasion Attacks on Summarization Scoring
The automatic scoring of summaries is important as it guides the development of summarizers.
Ranked #1 on
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on CNN / Daily Mail
Revision for Concision: A Constrained Paraphrase Generation Task
Academic writing should be concise as concise sentences better keep the readers' attention and convey meaning clearly.
