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{"paper_url": "https://huggingface.co/papers/2407.12021", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models](https://huggingface.co/papers/2407.01955) (2024)\n* [Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference](https://huggingface.co/papers/2405.18628) (2024)\n* [Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters](https://huggingface.co/papers/2406.16758) (2024)\n* [EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees](https://huggingface.co/papers/2406.16858) (2024)\n* [Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training](https://huggingface.co/papers/2406.17404) (2024)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}
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