arXiv:2404.03441 공식 코드 · Papers with Code

Benchmarking ChatGPT on Algorithmic Reasoning

Sean McLeish, Avi Schwarzschild, Tom Goldstein

제출 2024-04-04

원문 초록

We evaluate ChatGPT's ability to solve algorithm problems from the CLRS benchmark suite that is designed for GNNs. The benchmark requires the use of a specified classical algorithm to solve a given problem. We find that ChatGPT outperforms specialist GNN models, using Python to successfully solve these problems. This raises new points in the discussion about learning algorithms with neural networks and how we think about what out of distribution testing looks like with web scale training data.

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