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Found 4 papers, 1 papers with code
Beyond Self-learned Attention: Mitigating Attention Bias in Transformer-based Models Using Attention Guidance
SyntaGuid facilitates the guidance of attention-weight learning, leading to improved model performance on various software engineering tasks.
Automated Repair of Declarative Software Specifications in the Era of Large Language Models
In this study, we assess the effectiveness of utilizing OpenAI's ChatGPT to repair software specifications written in the Alloy declarative language.
Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
Kidneys are the filter of the human body.
Code Smells in Machine Learning Systems
We found that our newly identified code smells are prevalent and impactful on the maintenance of DL systems from the developer's perspective.
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