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README.md
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@@ -42,5 +42,14 @@ We evaluated the performance of DTA-Llama on [StableToolBench](https://github.co
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<!-- If there is a paper or blog post introducing the model, the APA
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/630da0fae57da204209411d3/ViBSn34pV-4LWJkIpUvSr.png) that should go in this section. -->
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<!-- If there is a paper or blog post introducing the model, the APA
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/630da0fae57da204209411d3/ViBSn34pV-4LWJkIpUvSr.png) that should go in this section. -->
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```bibtex
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@misc{zhu2025dividethenaggregateefficienttoollearning,
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title={Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation},
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author={Dongsheng Zhu and Weixian Shi and Zhengliang Shi and Zhaochun Ren and Shuaiqiang Wang and Lingyong Yan and Dawei Yin},
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year={2025},
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eprint={2501.12432},
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archivePrefix={arXiv},
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primaryClass={cs.LG},
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url={https://arxiv.org/abs/2501.12432},
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}
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```
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