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@_akhaliq

Here is my selection of papers for today (14 Feb) on Hugging Face https://t.co/QzUWybzXRg ChatCell: Facilitating Single-Cell Analysis with Natural Language UFO: A UI-Focused Agent for Windows OS Interaction Vision-Based Hand Gesture Customization from a Single Demonstration NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs Mixtures of Experts Unlock Parameter Scaling for Deep RL Graph Mamba: Towards Learning on Graphs with State Space Models IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation Tandem Transformers for Inference Efficient LLMs World Model on Million-Length Video And Language With RingAttention BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data Lumos : Empowering Multimodal LLMs with Scene Text Recognition Learning Continuous 3D Words for Text-to-Image Generation

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  "full_text": "Here is my selection of papers for today (14 Feb) on Hugging Face\n\nhttps://t.co/QzUWybzXRg\n\nChatCell: Facilitating Single-Cell Analysis with Natural Language\n\nUFO: A UI-Focused Agent for Windows OS Interaction\n\nVision-Based Hand Gesture Customization from a Single Demonstration\n\nNeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs\n\nMixtures of Experts Unlock Parameter Scaling for Deep RL\n\nGraph Mamba: Towards Learning on Graphs with State Space Models\n\nIM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation\n\nTandem Transformers for Inference Efficient LLMs\n\nWorld Model on Million-Length Video And Language With RingAttention\n\nBASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data\n\nLumos : Empowering Multimodal LLMs with Scene Text Recognition\n\nLearning Continuous 3D Words for Text-to-Image Generation",
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