The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that prioritizes ...

How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective ...

Going beyond simple text to analyzing and generating code, LLMs have shown promising results in software development. However, with increased complexity, providing a quality assessment of the code ...

UniBench demonstrates its utility through a comprehensive evaluation of 59 openly available VLMs, covering a wide range of architectures, sizes, and training approaches. The framework assesses these ...

Is there any way to save intermediate checkpoints during training? Sometimes my training may fail during the middle due to external reasons, it will be helpful to save every N steps so I can continue ...