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  1. data/2406.07056.json +1 -0
  2. data/2406.07528.json +1 -0
data/2406.07056.json ADDED
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+ {"paper_url": "https://huggingface.co/papers/2406.07056", "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* [LoCoCo: Dropping In Convolutions for Long Context Compression](https://huggingface.co/papers/2406.05317) (2024)\n* [Unified Low-rank Compression Framework for Click-through Rate Prediction](https://huggingface.co/papers/2405.18146) (2024)\n* [MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decoding](https://huggingface.co/papers/2406.09297) (2024)\n* [Reducing Transformer Key-Value Cache Size with Cross-Layer Attention](https://huggingface.co/papers/2405.12981) (2024)\n* [MiniCache: KV Cache Compression in Depth Dimension for Large Language Models](https://huggingface.co/papers/2405.14366) (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`"}
data/2406.07528.json ADDED
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+ {"paper_url": "https://huggingface.co/papers/2406.07528", "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* [XL3M: A Training-free Framework for LLM Length Extension Based on Segment-wise Inference](https://huggingface.co/papers/2405.17755) (2024)\n* [Recurrent Context Compression: Efficiently Expanding the Context Window of LLM](https://huggingface.co/papers/2406.06110) (2024)\n* [SirLLM: Streaming Infinite Retentive LLM](https://huggingface.co/papers/2405.12528) (2024)\n* [Equipping Transformer with Random-Access Reading for Long-Context Understanding](https://huggingface.co/papers/2405.13216) (2024)\n* [Make Your LLM Fully Utilize the Context](https://huggingface.co/papers/2404.16811) (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`"}