Abstract: Large language models (LLMs) are used in software development to assist in various tasks, e.g., code generation and code completion, but empirical evaluations of the quality of the results ...

SWE-bench Verified tests how well AI systems handle software engineering tasks pulled from actual GitHub issues in popular open-source projects. Some example problems can be found in OpenAI’s original ...

For developers at any stage of their careers, coding challenges provide a structured and engaging way to sharpen problem-solving skills, learn new algorithms, and prepare for technical interviews.

My previous work showed that ChatGPT-4 can solve algorithmic problems well if they were published before its cutoff date and struggles with new ones. But do newly available LLMs share the same ...

The GPT series has transformed the AI landscape. Each successive model exhibits progress in capabilities, with training computations (expressed in FLOPs) demonstrating the immense resources allocated.

Because of Leetcode's special design for test cases, if you want to test your code locally, you need to write some boilerplate code to read the test cases from the file and parse them into the format ...

As an individual who has delved into the world of programming and coding challenges, I have had the opportunity to explore several platforms, each with its own set of advantages and disadvantages.