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README.md
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@@ -94,21 +94,21 @@ EAGLE has been merged in the following mainstream LLM serving frameworks (listed
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For technical details and full experimental results, please check [the paper of EAGLE](https://arxiv.org/pdf/2401.15077.pdf), [the paper of EAGLE-2](https://arxiv.org/pdf/2406.16858), and [the paper of EAGLE-3](https://arxiv.org/pdf/2503.01840).
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@inproceedings{li2024eagle,
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}
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@inproceedings{li2024eagle2,
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}
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@inproceedings{li2025eagle3,
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}
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```
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For technical details and full experimental results, please check [the paper of EAGLE](https://arxiv.org/pdf/2401.15077.pdf), [the paper of EAGLE-2](https://arxiv.org/pdf/2406.16858), and [the paper of EAGLE-3](https://arxiv.org/pdf/2503.01840).
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```
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@inproceedings{li2024eagle,
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author = {Yuhui Li and Fangyun Wei and Chao Zhang and Hongyang Zhang},
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title = {{EAGLE}: Speculative Sampling Requires Rethinking Feature Uncertainty},
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booktitle = {International Conference on Machine Learning},
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year = {2024}
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}
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@inproceedings{li2024eagle2,
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author = {Yuhui Li and Fangyun Wei and Chao Zhang and Hongyang Zhang},
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title = {{EAGLE-2}: Faster Inference of Language Models with Dynamic Draft Trees},
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booktitle = {Empirical Methods in Natural Language Processing},
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year = {2024}
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}
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@inproceedings{li2025eagle3,
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author = {Yuhui Li and Fangyun Wei and Chao Zhang and Hongyang Zhang},
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title = {{EAGLE-3}: Scaling up Inference Acceleration of Large Language Models via Training-Time Test},
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booktitle = {Annual Conference on Neural Information Processing Systems},
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year = {2025}
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}
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```
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