Scheduled Commit

data/2401.06951.json

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+{"paper_url": "https://huggingface.co/papers/2401.06951", "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* [Extending LLMs' Context Window with 100 Samples](https://huggingface.co/papers/2401.07004) (2024)\n* [LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning](https://huggingface.co/papers/2401.01325) (2024)\n* [Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization](https://huggingface.co/papers/2401.07793) (2024)\n* [Extending Context Window of Large Language Models via Semantic Compression](https://huggingface.co/papers/2312.09571) (2023)\n* [Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention](https://huggingface.co/papers/2312.08618) (2023)\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"}

data/2401.07004.json

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+{"paper_url": "https://huggingface.co/papers/2401.07004", "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* [LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning](https://huggingface.co/papers/2401.01325) (2024)\n* [Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention](https://huggingface.co/papers/2312.08618) (2023)\n* [E^2-LLM: Efficient and Extreme Length Extension of Large Language Models](https://huggingface.co/papers/2401.06951) (2024)\n* [Extending Context Window of Large Language Models via Semantic Compression](https://huggingface.co/papers/2312.09571) (2023)\n* [The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey](https://huggingface.co/papers/2401.07872) (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"}

data/2401.07049.json

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+{"paper_url": "https://huggingface.co/papers/2401.07049", "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* [Enhancing a Convolutional Autoencoder with a Quantum Approximate Optimization Algorithm for Image Noise Reduction](https://huggingface.co/papers/2401.06367) (2024)\n* [Quantum Generative Diffusion Model](https://huggingface.co/papers/2401.07039) (2024)\n* [Diffusion Models Without Attention](https://huggingface.co/papers/2311.18257) (2023)\n* [Quantum Diffusion Models](https://huggingface.co/papers/2311.15444) (2023)\n* [DeepCache: Accelerating Diffusion Models for Free](https://huggingface.co/papers/2312.00858) (2023)\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"}

data/2401.07519.json

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+{"paper_url": "https://huggingface.co/papers/2401.07519", "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* [SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation](https://huggingface.co/papers/2312.16272) (2023)\n* [When StyleGAN Meets Stable Diffusion: a W+ Adapter for Personalized Image Generation](https://huggingface.co/papers/2311.17461) (2023)\n* [FaceStudio: Put Your Face Everywhere in Seconds](https://huggingface.co/papers/2312.02663) (2023)\n* [PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization](https://huggingface.co/papers/2312.06354) (2023)\n* [DreamTuner: Single Image is Enough for Subject-Driven Generation](https://huggingface.co/papers/2312.13691) (2023)\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"}

data/2401.07727.json

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+{"paper_url": "https://huggingface.co/papers/2401.07727", "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* [ET3D: Efficient Text-to-3D Generation via Multi-View Distillation](https://huggingface.co/papers/2311.15561) (2023)\n* [Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion](https://huggingface.co/papers/2311.15980) (2023)\n* [ControlDreamer: Stylized 3D Generation with Multi-View ControlNet](https://huggingface.co/papers/2312.01129) (2023)\n* [A Unified Approach for Text- and Image-guided 4D Scene Generation](https://huggingface.co/papers/2311.16854) (2023)\n* [PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion](https://huggingface.co/papers/2312.09069) (2023)\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"}

data/2401.07781.json

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+{"paper_url": "https://huggingface.co/papers/2401.07781", "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* [MTVG : Multi-text Video Generation with Text-to-Video Models](https://huggingface.co/papers/2312.04086) (2023)\n* [AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI](https://huggingface.co/papers/2401.01651) (2024)\n* [Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions](https://huggingface.co/papers/2401.01827) (2024)\n* [VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding](https://huggingface.co/papers/2312.02310) (2023)\n* [A Recipe for Scaling up Text-to-Video Generation with Text-free Videos](https://huggingface.co/papers/2312.15770) (2023)\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"}

data/2401.08541.json

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+{"paper_url": "https://huggingface.co/papers/2401.08541", "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* [Rejuvenating image-GPT as Strong Visual Representation Learners](https://huggingface.co/papers/2312.02147) (2023)\n* [Improve Supervised Representation Learning with Masked Image Modeling](https://huggingface.co/papers/2312.00950) (2023)\n* [4M: Massively Multimodal Masked Modeling](https://huggingface.co/papers/2312.06647) (2023)\n* [Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning](https://huggingface.co/papers/2312.10457) (2023)\n* [A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames](https://huggingface.co/papers/2312.07395) (2023)\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"}

data/2401.08565.json

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+{"paper_url": "https://huggingface.co/papers/2401.08565", "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* [CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation](https://huggingface.co/papers/2311.18702) (2023)\n* [MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models](https://huggingface.co/papers/2401.07598) (2024)\n* [Improving In-context Learning via Bidirectional Alignment](https://huggingface.co/papers/2312.17055) (2023)\n* [Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models](https://huggingface.co/papers/2312.06585) (2023)\n* [DeepSeek LLM: Scaling Open-Source Language Models with Longtermism](https://huggingface.co/papers/2401.02954) (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"}

data/2401.09603.json

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+{"paper_url": "https://huggingface.co/papers/2401.09603", "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* [DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models](https://huggingface.co/papers/2312.14216) (2023)\n* [ElasticDiffusion: Training-free Arbitrary Size Image Generation](https://huggingface.co/papers/2311.18822) (2023)\n* [Rich Human Feedback for Text-to-Image Generation](https://huggingface.co/papers/2312.10240) (2023)\n* [Fixed-point Inversion for Text-to-image diffusion models](https://huggingface.co/papers/2312.12540) (2023)\n* [ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations](https://huggingface.co/papers/2312.04655) (2023)\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"}

data/2401.09865.json

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+{"paper_url": "https://huggingface.co/papers/2401.09865", "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* [TiMix: Text-aware Image Mixing for Effective Vision-Language Pre-training](https://huggingface.co/papers/2312.08846) (2023)\n* [Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training](https://huggingface.co/papers/2401.02347) (2024)\n* [SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment](https://huggingface.co/papers/2401.02137) (2024)\n* [LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models](https://huggingface.co/papers/2312.00674) (2023)\n* [Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects](https://huggingface.co/papers/2312.05278) (2023)\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"}

data/2401.09962.json

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+{"paper_url": "https://huggingface.co/papers/2401.09962", "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* [DreamVideo: Composing Your Dream Videos with Customized Subject and Motion](https://huggingface.co/papers/2312.04433) (2023)\n* [VideoBooth: Diffusion-based Video Generation with Image Prompts](https://huggingface.co/papers/2312.00777) (2023)\n* [MotionCrafter: One-Shot Motion Customization of Diffusion Models](https://huggingface.co/papers/2312.05288) (2023)\n* [VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models](https://huggingface.co/papers/2312.00845) (2023)\n* [Fine-grained Controllable Video Generation via Object Appearance and Context](https://huggingface.co/papers/2312.02919) (2023)\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"}

data/2401.09985.json

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+{"paper_url": "https://huggingface.co/papers/2401.09985", "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* [VideoPoet: A Large Language Model for Zero-Shot Video Generation](https://huggingface.co/papers/2312.14125) (2023)\n* [MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers](https://huggingface.co/papers/2312.12468) (2023)\n* [FlashVideo: A Framework for Swift Inference in Text-to-Video Generation](https://huggingface.co/papers/2401.00869) (2023)\n* [GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation](https://huggingface.co/papers/2312.04557) (2023)\n* [Photorealistic Video Generation with Diffusion Models](https://huggingface.co/papers/2312.06662) (2023)\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"}

data/2401.10032.json

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+{"paper_url": "https://huggingface.co/papers/2401.10032", "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* [Multi-Scale Sub-Band Constant-Q Transform Discriminator for High-Fidelity Vocoder](https://huggingface.co/papers/2311.14957) (2023)\n* [Towards High-Quality and Efficient Speech Bandwidth Extension with Parallel Amplitude and Phase Prediction](https://huggingface.co/papers/2401.06387) (2024)\n* [CoMoSVC: Consistency Model-based Singing Voice Conversion](https://huggingface.co/papers/2401.01792) (2024)\n* [Incremental FastPitch: Chunk-based High Quality Text to Speech](https://huggingface.co/papers/2401.01755) (2024)\n* [BAE-Net: A Low complexity and high fidelity Bandwidth-Adaptive neural network for speech super-resolution](https://huggingface.co/papers/2312.13722) (2023)\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"}

data/2401.10171.json

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+{"paper_url": "https://huggingface.co/papers/2401.10171", "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* [NoPose-NeuS: Jointly Optimizing Camera Poses with Neural Implicit Surfaces for Multi-view Reconstruction](https://huggingface.co/papers/2312.15238) (2023)\n* [Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting](https://huggingface.co/papers/2401.09126) (2024)\n* [Learning Naturally Aggregated Appearance for Efficient 3D Editing](https://huggingface.co/papers/2312.06657) (2023)\n* [UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections](https://huggingface.co/papers/2312.13285) (2023)\n* [SpecNeRF: Gaussian Directional Encoding for Specular Reflections](https://huggingface.co/papers/2312.13102) (2023)\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"}

data/2401.10225.json

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+{"paper_url": "https://huggingface.co/papers/2401.10225", "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* [PCoQA: Persian Conversational Question Answering Dataset](https://huggingface.co/papers/2312.04362) (2023)\n* [ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?](https://huggingface.co/papers/2311.16989) (2023)\n* [Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs](https://huggingface.co/papers/2401.01711) (2024)\n* [YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extraction](https://huggingface.co/papers/2312.15548) (2023)\n* [Large Language Models are Complex Table Parsers](https://huggingface.co/papers/2312.11521) (2023)\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"}