16 citations · 34 across the 16 of their papers we have counts for
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cs.SE2025
Open the Oyster: Empirical Evaluation and Improvement of Code Reasoning Confidence in LLMs
Shufan Wang, Xing Hu, Junkai Chen +2
With the widespread application of large language models (LLMs) in the field of code intelligence, increasing attention has been paid to the reliability and controllability of thei…
cs.SE2025★ 2 cited
Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks
Xing Hu, Feifei Niu, Junkai Chen +5
Large language models (LLMs) are gaining increasing popularity in software engineering (SE) due to their unprecedented performance across various applications. These models are inc…
cs.SE2025★ 9 cited
Automating Comment Generation for Smart Contract from Bytecode
Jianhang Xiang, Zhipeng Gao, Lingfeng Bao +3
Recently, smart contracts have played a vital role in automatic financial and business transactions. To help end users without programming background to better understand the logic…