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Aditi

2 accepted papers

2025

CodeComplex: Dataset for Worst-Case Time Complexity Prediction

EMNLP 2025

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 time complexity prediction, which involves variousintricate factors such as the input range of variables and conditional

2025

LogiCase: Effective Test Case Generation from Logical Description in Competitive Programming

IJCAI 2025

Automated Test Case Generation (ATCG) is crucial for evaluating software reliability, particularly in competitive programming where robust algorithm assessments depend on diverse and accurate test cases. However, existing ATCG methods often fail to meet complex specifications or generate effective c