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7 papers
Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness
Wenchuan Mu, Kwan Hui Lim
In safety-critical deep learning applications, robustness measures the ability of neural models that handle imperceptible perturbations in input data, which may lead to potential s…
A Social Data-Driven System for Identifying Estate-related Events and Topics
Wenchuan Mu, Menglin Li, Kwan Hui Lim
Social media platforms such as Twitter and Facebook have become deeply embedded in our everyday life, offering a dynamic stream of localized news and personal experiences. The ubiq…
Towards Precise Observations of Neural Model Robustness in Classification
Wenchuan Mu, Kwan Hui Lim
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 i…
Label-Free Topic-Focused Summarization Using Query Augmentation
Wenchuan Mu, Kwan Hui Lim
In today's data and information-rich world, summarization techniques are essential in harnessing vast text to extract key information and enhance decision-making and efficiency. In…
Universal Evasion Attacks on Summarization Scoring
Wenchuan Mu, Kwan Hui Lim
The automatic scoring of summaries is important as it guides the development of summarizers. Scoring is also complex, as it involves multiple aspects such as fluency, grammar, and…
Revision for Concision: A Constrained Paraphrase Generation Task
Wenchuan Mu, Kwan Hui Lim
Academic writing should be concise as concise sentences better keep the readers' attention and convey meaning clearly. Writing concisely is challenging, for writers often struggle…
Similarity between Units of Natural Language: The Transition from Coarse to Fine Estimation
Wenchuan Mu
Capturing the similarities between human language units is crucial for explaining how humans associate different objects, and therefore its computation has received extensive atten…