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Found 4 papers, 2 papers with code
MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment Generation
In this paper, we raise the awareness of the supplementary nature of method-level comments and propose a new metric named MESIA (Mean Supplementary Information Amount) to assess the extent of supplementary information that a code comment can provide.
Compositional API Recommendation for Library-Oriented Code Generation
However, the performance remains unsatisfactory in generating library-oriented code, especially for the libraries not present in the training data of LLMs.
Uncertainty and Explainable Analysis of Machine Learning Model for Reconstruction of Sonic Slowness Logs
Using the SHAP explainable machine learning model, we calculate the importance of each input log to the predicted results as well as the coupling relationship among input logs.
RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement Learning
Today high-performance computing (HPC) platforms are still dominated by batch jobs.
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