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Found 3 papers, 2 papers with code
Fine-tuning pre-trained extractive QA models for clinical document parsing
A remote patient monitoring (RPM) program for Heart Failure (HF) patients needs to have access to clinical markers like EF (Ejection Fraction) or LVEF (Left Ventricular Ejection Fraction) in order to ascertain eligibility and appropriateness for the program.
Execution-based Code Generation using Deep Reinforcement Learning
It's important to note that PPOCoder is a task-agnostic and model-agnostic framework that can be used across different code generation tasks and PLs.
XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence
To the best of our knowledge, it is the largest parallel dataset for source code both in terms of size and the number of languages.
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