Summary of Pythonsaga: Redefining the Benchmark to Evaluate Code Generating Llms, by Ankit Yadav et al.
PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs
by Ankit Yadav, Himanshu Beniwal, Mayank Singh
First submitted to arxiv on: 8 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper investigates two popular benchmarks for evaluating large language models (LLMs) in generating Python code, HumanEval and MBPP. A human evaluation reveals a significant bias towards a limited set of programming concepts, overlooking most others entirely. Additionally, the study finds an abundance of easy tasks that may artificially inflate model performance estimates. To address these limitations, the authors propose a new benchmark, PythonSaga, which features 185 hand-crafted prompts covering 38 programming concepts across varying difficulty levels. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at two tests for checking how well computer code-generating models do their job. The people who tested the models found that most of the time they were asked to write simple things, and mostly about just a few ideas in coding. This might make it seem like these models are better than they really are. To fix this problem, the scientists created a new test that asks for all sorts of code-writing tasks. |
