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data/2403.19163.json

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+{"paper_url": "https://huggingface.co/papers/2403.19163", "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* [ReALLM: A general framework for LLM compression and fine-tuning](https://huggingface.co/papers/2405.13155) (2024)\n* [LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters](https://huggingface.co/papers/2405.16287) (2024)\n* [Parameter-Efficient Instance-Adaptive Neural Video Compression](https://huggingface.co/papers/2405.08530) (2024)\n* [SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining](https://huggingface.co/papers/2406.02214) (2024)\n* [Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaption](https://huggingface.co/papers/2406.00758) (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/2405.16287.json

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+{"paper_url": "https://huggingface.co/papers/2405.16287", "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* [Compute Better Spent: Replacing Dense Layers with Structured Matrices](https://huggingface.co/papers/2406.06248) (2024)\n* [An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates](https://huggingface.co/papers/2405.18069) (2024)\n* [LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters](https://huggingface.co/papers/2405.17604) (2024)\n* [OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models](https://huggingface.co/papers/2406.01775) (2024)\n* [LoQT: Low Rank Adapters for Quantized Training](https://huggingface.co/papers/2405.16528) (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`"}