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data/2402.14830.json

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+{"paper_url": "https://huggingface.co/papers/2402.14830", "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* [RoCode: A Dataset for Measuring Code Intelligence from Problem Definitions in Romanian](https://huggingface.co/papers/2402.13222) (2024)\n* [MARIO: MAth Reasoning with code Interpreter Output - A Reproducible Pipeline](https://huggingface.co/papers/2401.08190) (2024)\n* [InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning](https://huggingface.co/papers/2402.06332) (2024)\n* [Augmenting Math Word Problems via Iterative Question Composing](https://huggingface.co/papers/2401.09003) (2024)\n* [OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset](https://huggingface.co/papers/2402.10176) (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/2402.14904.json

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+{"paper_url": "https://huggingface.co/papers/2402.14904", "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* [Cross-Attention Watermarking of Large Language Models](https://huggingface.co/papers/2401.06829) (2024)\n* [Proving membership in LLM pretraining data via data watermarks](https://huggingface.co/papers/2402.10892) (2024)\n* [Adaptive Text Watermark for Large Language Models](https://huggingface.co/papers/2401.13927) (2024)\n* [k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text](https://huggingface.co/papers/2402.11399) (2024)\n* [Robust-Wide: Robust Watermarking against Instruction-driven Image Editing](https://huggingface.co/papers/2402.12688) (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/2402.15319.json

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+{"paper_url": "https://huggingface.co/papers/2402.15319", "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* [Extreme Compression of Large Language Models via Additive Quantization](https://huggingface.co/papers/2401.06118) (2024)\n* [Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting](https://huggingface.co/papers/2402.05830) (2024)\n* [QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks](https://huggingface.co/papers/2402.04396) (2024)\n* [DB-LLM: Accurate Dual-Binarization for Efficient LLMs](https://huggingface.co/papers/2402.11960) (2024)\n* [LQER: Low-Rank Quantization Error Reconstruction for LLMs](https://huggingface.co/papers/2402.02446) (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/2402.15504.json

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+{"paper_url": "https://huggingface.co/papers/2402.15504", "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* [\u03bb-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space](https://huggingface.co/papers/2402.05195) (2024)\n* [E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation](https://huggingface.co/papers/2401.06127) (2024)\n* [Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation](https://huggingface.co/papers/2402.09966) (2024)\n* [Visual Concept-driven Image Generation with Text-to-Image Diffusion Model](https://huggingface.co/papers/2402.11487) (2024)\n* [UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion](https://huggingface.co/papers/2401.13388) (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/2402.15509.json

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+{"paper_url": "https://huggingface.co/papers/2402.15509", "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* [GUESS: GradUally Enriching SyntheSis for Text-Driven Human Motion Generation](https://huggingface.co/papers/2401.02142) (2024)\n* [Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation](https://huggingface.co/papers/2401.08559) (2024)\n* [MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation](https://huggingface.co/papers/2401.11115) (2024)\n* [RoHM: Robust Human Motion Reconstruction via Diffusion](https://huggingface.co/papers/2401.08570) (2024)\n* [AdvMT: Adversarial Motion Transformer for Long-term Human Motion Prediction](https://huggingface.co/papers/2401.05018) (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`"}