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66 Multi-Agent LLMs For Conversational Task-Solving: Framework<br />
77 <p align="center">
8- <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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@@ -271,16 +270,8 @@ You can run unit tests locally:
271270` pytest ./test/ `
272271
273272## Citation
274- 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.
273+ If you use this repository for your research work, please cite it in the following way.
275274
276275```
277- @misc{becker2024multiagentlargelanguagemodels,
278- title={Multi-Agent Large Language Models for Conversational Task-Solving},
279- author={Jonas Becker},
280- year={2024},
281- eprint={2410.22932},
282- archivePrefix={arXiv},
283- primaryClass={cs.CL},
284- url={https://arxiv.org/abs/2410.22932},
285- }
276+ comming soon
286277```
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