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Methods for Improving Natural Language Processing Techniques with Linguistic Regularities Extracted from Large Unlabeled Text Corpora
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Towards Understanding and Reducing Exploitability of Linux Kernel Bugs
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Approximation Algorithms for Explainable Clustering
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Reasoning and Structured Explanations in Natural Language via Analogical and Neural Learning
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Enhancing Safety and Robustness for Mission-critical Systems with Formal Methods
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On Adaptive Time-Constrained Macro X-Ray Fluorescence Scanning and Analysis of Works of Art
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On MAP Inference of Ferromagnetic Potts Models and Nonsymmetric Determinantal Point Processes
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Designing Web-Based Technologies for Data Visualization Skill Development
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Learning from Limited and Imperfect Data in Cyber-Physical System
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Reading Users: Using Language Models to Close the Pragmatic Gap in Task-Oriented Conversations
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