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data/2409.10568.json

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+{"paper_url": "https://huggingface.co/papers/2409.10568", "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* [Predicting the Impact of Generative AI Using an Agent-Based Model](https://huggingface.co/papers/2408.17268) (2024)\n* [Foragax: An Agent-Based Modelling Framework Based on JAX](https://huggingface.co/papers/2409.06345) (2024)\n* [Instigating Cooperation among LLM Agents Using Adaptive Information Modulation](https://huggingface.co/papers/2409.10372) (2024)\n* [Empirical Equilibria in Agent-based Economic systems with Learning agents](https://huggingface.co/papers/2408.12038) (2024)\n* [Very Large-Scale Multi-Agent Simulation in AgentScope](https://huggingface.co/papers/2407.17789) (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/2409.10594.json

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+{"paper_url": "https://huggingface.co/papers/2409.10594", "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* [Activation Space Selectable Kolmogorov-Arnold Networks](https://huggingface.co/papers/2408.08338) (2024)\n* [Reimagining Linear Probing: Kolmogorov-Arnold Networks in Transfer Learning](https://huggingface.co/papers/2409.07763) (2024)\n* [Kolmogorov-Arnold Network for Online Reinforcement Learning](https://huggingface.co/papers/2408.04841) (2024)\n* [DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks](https://huggingface.co/papers/2407.21176) (2024)\n* [Kolmogorov-Arnold Networks in Low-Data Regimes: A Comparative Study with Multilayer Perceptrons](https://huggingface.co/papers/2409.10463) (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/2409.10819.json

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+{"paper_url": "https://huggingface.co/papers/2409.10819", "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* [Sample-Efficient Diffusion for Text-To-Speech Synthesis](https://huggingface.co/papers/2409.03717) (2024)\n* [SoloAudio: Target Sound Extraction with Language-oriented Audio Diffusion Transformer](https://huggingface.co/papers/2409.08425) (2024)\n* [Towards Diverse and Efficient Audio Captioning via Diffusion Models](https://huggingface.co/papers/2409.09401) (2024)\n* [SimpleSpeech 2: Towards Simple and Efficient Text-to-Speech with Flow-based Scalar Latent Transformer Diffusion Models](https://huggingface.co/papers/2408.13893) (2024)\n* [Audio Prompt Adapter: Unleashing Music Editing Abilities for Text-to-Music with Lightweight Finetuning](https://huggingface.co/papers/2407.16564) (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/2409.10836.json

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+{"paper_url": "https://huggingface.co/papers/2409.10836", "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* [Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks](https://huggingface.co/papers/2409.09323) (2024)\n* [Attention Beats Linear for Fast Implicit Neural Representation Generation](https://huggingface.co/papers/2407.15355) (2024)\n* [Learning Transferable Features for Implicit Neural Representations](https://huggingface.co/papers/2409.09566) (2024)\n* [FINER++: Building a Family of Variable-periodic Functions for Activating Implicit Neural Representation](https://huggingface.co/papers/2407.19434) (2024)\n* [FreqINR: Frequency Consistency for Implicit Neural Representation with Adaptive DCT Frequency Loss](https://huggingface.co/papers/2408.13716) (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/2409.11055.json

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+{"paper_url": "https://huggingface.co/papers/2409.11055", "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* [ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models](https://huggingface.co/papers/2408.08554) (2024)\n* [Accurate and Efficient Fine-Tuning of Quantized Large Language Models Through Optimal Balance](https://huggingface.co/papers/2407.17029) (2024)\n* [Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners](https://huggingface.co/papers/2407.15508) (2024)\n* [Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates](https://huggingface.co/papers/2408.12263) (2024)\n* [Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation](https://huggingface.co/papers/2408.03735) (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/2409.11211.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2409.11211", "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* [Optimizing 3D Gaussian Splatting for Sparse Viewpoint Scene Reconstruction](https://huggingface.co/papers/2409.03213) (2024)\n* [Spurfies: Sparse Surface Reconstruction using Local Geometry Priors](https://huggingface.co/papers/2408.16544) (2024)\n* [SpecGaussian with Latent Features: A High-quality Modeling of the View-dependent Appearance for 3D Gaussian Splatting](https://huggingface.co/papers/2409.05868) (2024)\n* [Compact 3D Gaussian Splatting for Static and Dynamic Radiance Fields](https://huggingface.co/papers/2408.03822) (2024)\n* [LM-Gaussian: Boost Sparse-view 3D Gaussian Splatting with Large Model Priors](https://huggingface.co/papers/2409.03456) (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/2409.11355.json

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+{"paper_url": "https://huggingface.co/papers/2409.11355", "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* [BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation](https://huggingface.co/papers/2407.17952) (2024)\n* [PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage](https://huggingface.co/papers/2409.09144) (2024)\n* [Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions](https://huggingface.co/papers/2407.16698) (2024)\n* [GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion](https://huggingface.co/papers/2409.09896) (2024)\n* [EDADepth: Enhanced Data Augmentation for Monocular Depth Estimation](https://huggingface.co/papers/2409.06183) (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/2409.11402.json

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+{"paper_url": "https://huggingface.co/papers/2409.11402", "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* [CROME: Cross-Modal Adapters for Efficient Multimodal LLM](https://huggingface.co/papers/2408.06610) (2024)\n* [Building and better understanding vision-language models: insights and future directions](https://huggingface.co/papers/2408.12637) (2024)\n* [Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders](https://huggingface.co/papers/2408.15998) (2024)\n* [EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model](https://huggingface.co/papers/2408.11795) (2024)\n* [LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models](https://huggingface.co/papers/2407.19185) (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`"}