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data/2411.06558.json

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+{"paper_url": "https://huggingface.co/papers/2411.06558", "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* [Training-free Regional Prompting for Diffusion Transformers](https://huggingface.co/papers/2411.02395) (2024)\n* [3DIS: Depth-Driven Decoupled Instance Synthesis for Text-to-Image Generation](https://huggingface.co/papers/2410.12669) (2024)\n* [IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation](https://huggingface.co/papers/2410.07171) (2024)\n* [Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis](https://huggingface.co/papers/2411.07132) (2024)\n* [HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation](https://huggingface.co/papers/2410.14324) (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/2411.08033.json

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+{"paper_url": "https://huggingface.co/papers/2411.08033", "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* [3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation](https://huggingface.co/papers/2410.18974) (2024)\n* [L3DG: Latent 3D Gaussian Diffusion](https://huggingface.co/papers/2410.13530) (2024)\n* [LucidFusion: Generating 3D Gaussians with Arbitrary Unposed Images](https://huggingface.co/papers/2410.15636) (2024)\n* [LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion](https://huggingface.co/papers/2410.01295) (2024)\n* [MvDrag3D: Drag-based Creative 3D Editing via Multi-view Generation-Reconstruction Priors](https://huggingface.co/papers/2410.16272) (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/2411.10083.json

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+{"paper_url": "https://huggingface.co/papers/2411.10083", "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* [EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models](https://huggingface.co/papers/2409.17892) (2024)\n* [Adapting Multilingual LLMs to Low-Resource Languages using Continued Pre-training and Synthetic Corpus](https://huggingface.co/papers/2410.14815) (2024)\n* [Multilingual Pretraining Using a Large Corpus Machine-Translated from a Single Source Language](https://huggingface.co/papers/2410.23956) (2024)\n* [Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs](https://huggingface.co/papers/2410.03730) (2024)\n* [EuroLLM: Multilingual Language Models for Europe](https://huggingface.co/papers/2409.16235) (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/2411.10323.json

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+{"paper_url": "https://huggingface.co/papers/2411.10323", "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* [Agent S: An Open Agentic Framework that Uses Computers Like a Human](https://huggingface.co/papers/2410.08164) (2024)\n* [OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning](https://huggingface.co/papers/2410.18963) (2024)\n* [MobA: A Two-Level Agent System for Efficient Mobile Task Automation](https://huggingface.co/papers/2410.13757) (2024)\n* [OS-ATLAS: A Foundation Action Model for Generalist GUI Agents](https://huggingface.co/papers/2410.23218) (2024)\n* [Dynamic Planning for LLM-based Graphical User Interface Automation](https://huggingface.co/papers/2410.00467) (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/2411.10332.json

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+{"paper_url": "https://huggingface.co/papers/2411.10332", "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* [SparrowVQE: Visual Question Explanation for Course Content Understanding](https://huggingface.co/papers/2411.07516) (2024)\n* [TRACE: Temporal Grounding Video LLM via Causal Event Modeling](https://huggingface.co/papers/2410.05643) (2024)\n* [Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models](https://huggingface.co/papers/2410.03290) (2024)\n* [TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning](https://huggingface.co/papers/2410.19702) (2024)\n* [VidCompress: Memory-Enhanced Temporal Compression for Video Understanding in Large Language Models](https://huggingface.co/papers/2410.11417) (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/2411.10438.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2411.10438", "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* [Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes](https://huggingface.co/papers/2410.02145) (2024)\n* [Non-convergence to global minimizers in data driven supervised deep learning: Adam and stochastic gradient descent optimization provably fail to converge to global minimizers in the training of deep neural networks with ReLU activation](https://huggingface.co/papers/2410.10533) (2024)\n* [Convergence of Distributed Adaptive Optimization with Local Updates](https://huggingface.co/papers/2409.13155) (2024)\n* [Subspace Optimization for Large Language Models with Convergence Guarantees](https://huggingface.co/papers/2410.11289) (2024)\n* [Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization for Improved Non-Convex Optimization](https://huggingface.co/papers/2410.21564) (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/2411.10440.json

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+{"paper_url": "https://huggingface.co/papers/2411.10440", "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* [Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding](https://huggingface.co/papers/2411.04282) (2024)\n* [Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning](https://huggingface.co/papers/2410.05928) (2024)\n* [Vision-Language Models Can Self-Improve Reasoning via Reflection](https://huggingface.co/papers/2411.00855) (2024)\n* [Large Language Models Can Self-Improve in Long-context Reasoning](https://huggingface.co/papers/2411.08147) (2024)\n* [Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark](https://huggingface.co/papers/2410.14702) (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`"}