Abstract: We present a novel framework that integrates Large Language Models (LLMs) with automated planning and formal verification to streamline the creation and use of Markov Decision Processes (MDP ...
ABLkit is an efficient Python toolkit for Abductive Learning (ABL). ABL is a novel paradigm that integrates machine learning and logical reasoning in a unified framework. It is suitable for tasks ...
To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...
B.S. in Computer Engineering, University of Illinois at Urbana/Champaign, 1983 M.S. in Computer Science, University of Illinois at Urbana/Champaign, 1985 See my invited talk at the EMNLP 2023 Big ...
Data-driven approaches are becoming increasingly common as problem-solving tools in many areas of science and technology. In most cases, machine learning models are the key component of these ...
Quantification is one of the central topics in language and computation, and the interplay of collectivity, distributivity, cumulativity, and plurality is at the heart of the semantics of ...
The rapid advance of technology has resulted in CPA firms hiring more nonaccounting graduates in order to integrate new tools into their practice. For example, one national firm leader reported that ...
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