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cs.SE2024
Impact of Large Language Models of Code on Fault Localization
Suhwan Ji, Sanghwa Lee, Changsup Lee +2
Identifying the point of error is imperative in software debugging. Traditional fault localization (FL) techniques rely on executing the program and using the code coverage matrix…
cs.CL2024
A Framework for Quantum Finite-State Languages with Density Mapping
SeungYeop Baik, Sicheol Sung, Yo-Sub Han
A quantum finite-state automaton (QFA) is a theoretical model designed to simulate the evolution of a quantum system with finite memory in response to sequential input strings. We…
cs.SE2024
CodeComplex: Dataset for Worst-Case Time Complexity Prediction
Seung-Yeop Baik, Joonghyuk Hahn, Jungin Kim +4
Reasoning ability of Large Language Models (LLMs) is a crucial ability, especially in complex decision-making tasks. One significant task to show LLMs' reasoning capability is code…