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Found 5 papers, 0 papers with code
ViRED: Prediction of Visual Relations in Engineering Drawings
The experimental results indicate that, within the engineering drawing dataset, our approach attained an accuracy of 96\% in the task of relation prediction, marking a substantial improvement over existing methodologies.
Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering
To address these issues, we propose a novel framework called Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering (ALMupQA) to create user-focused responses.
Lost in Overlap: Exploring Logit-based Watermark Collision in LLMs
The proliferation of large language models (LLMs) in generating content raises concerns about text copyright.
Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches
We extracted temporospatial gait clinical features (CFs) and applied multiple machine learning (ML) approaches to differentiate between DMD and TD children using extracted temporospatial gait CFs and raw data.
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning
With more regulations tackling users' privacy-sensitive data protection in recent years, access to such data has become increasingly restricted and controversial.
