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<p align="center">
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Multi-Agent LLMs For Conversational Task-Solving: Framework<br />
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<p align="center">
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<a href="https://arxiv.org/abs/2410.22932"><img src="https://img.shields.io/badge/arXiv-2410.22932-red" alt="arXiv"></a>
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<a href="https://github.com/psf/black"><img src="https://img.shields.io/badge/code%20style-black-000000.svg" alt="Black"></a>
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<a href="https://github.com/Multi-Agent-LLMs/mallm/blob/main/LICENSE"><img src="https://img.shields.io/github/license/Multi-Agent-LLMs/mallm" alt="License"></a>
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<a href="https://github.com/Multi-Agent-LLMs/mallm/actions/workflows/python-package.yml"><img src="https://github.com/Multi-Agent-LLMs/mallm/actions/workflows/python-package.yml/badge.svg" alt="Pipeline"></a>
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`pytest ./test/`
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## Citation
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If you use this repository or the [paper](https://arxiv.org/abs/2410.22932) for your research work, please cite it in the following way.
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If you use this repository for your research work, please cite it in the following way.
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```
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@misc{becker2024multiagentlargelanguagemodels,
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title={Multi-Agent Large Language Models for Conversational Task-Solving},
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author={Jonas Becker},
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year={2024},
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eprint={2410.22932},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2410.22932},
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}
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comming soon
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```

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