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In our paper, we propose and evaluate a framework that enables building complex workflows, one of which is writing a paper: https://arxiv.org/abs/2402.00854 Here is the benchmark with the paper generation workflow: https://github.com/ExtensityAI/benchmark/blob/main/src/evals/eval_computation_graphs.py#L551 Here are some samples: https://drive.google.com/drive/folders/1KZmWsos07xg9p6JEVgXi5YZJzG36GvrG?usp=sharing
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@@ -177,6 +177,11 @@ The 2D Diffusion template used code from [tiny-diffusion](https://github.com/tan
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The Grokking template used code from [Sea-Snell/grokking](https://github.com/Sea-Snell/grokking) and [danielmamay/grokking](https://github.com/danielmamay/grokking).
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## Related Work
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- [Dinu, SymbolicAI: A Neuro-Symbolic Perspective on Large Language Models (LLMs), 2022](https://github.com/ExtensityAI/symbolicai)
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- [Dinu et al., SymbolicAI: A framework for logic-based approaches combining generative models and solvers, CoLLAs 2024](https://arxiv.org/abs/2402.00854)
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## Citing **The AI Scientist** ✏️
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If you use **The AI Scientist** in your research, please cite it as follows:

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