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Found 4 papers, 0 papers with code
Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation
Our experimental results show the effectiveness of combining the base models' auxiliary function utilization ability with the instruction following ability.
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
In this paper, we propose DynaCor framework that distinguishes incorrectly labeled instances from correctly labeled ones based on the dynamics of the training signals.
Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients
Medical documentation, including discharge notes, is crucial for ensuring patient care quality, continuity, and effective medical communication.
MitoVis: A Visually-guided Interactive Intelligent System for Neuronal Mitochondria Analysis
It is known that the morphology of mitochondria is closely related to the functions of neurons and neurodegenerative diseases.
