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Browse files- data/2411.10161.json +1 -0
- data/2411.10818.json +1 -0
- data/2411.11909.json +1 -0
- data/2411.11925.json +1 -0
- data/2411.12044.json +1 -0
- data/2411.12240.json +1 -0
- data/2411.12275.json +1 -0
- data/2411.12372.json +1 -0
- data/2411.12734.json +1 -0
data/2411.10161.json
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{"paper_url": "https://huggingface.co/papers/2411.10161", "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* [Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessment](https://huggingface.co/papers/2410.02505) (2024)\n* [Aquila-plus: Prompt-Driven Visual-Language Models for Pixel-Level Remote Sensing Image Understanding](https://huggingface.co/papers/2411.06142) (2024)\n* [AIM 2024 Challenge on UHD Blind Photo Quality Assessment](https://huggingface.co/papers/2409.16271) (2024)\n* [ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization](https://huggingface.co/papers/2410.10238) (2024)\n* [Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models](https://huggingface.co/papers/2411.09691) (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`"}
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data/2411.10818.json
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{"paper_url": "https://huggingface.co/papers/2411.10818", "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* [ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning](https://huggingface.co/papers/2411.05003) (2024)\n* [MikuDance: Animating Character Art with Mixed Motion Dynamics](https://huggingface.co/papers/2411.08656) (2024)\n* [Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models](https://huggingface.co/papers/2410.10821) (2024)\n* [Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation](https://huggingface.co/papers/2410.07718) (2024)\n* [Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editing](https://huggingface.co/papers/2410.12526) (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`"}
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data/2411.11909.json
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{"paper_url": "https://huggingface.co/papers/2411.11909", "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 the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization](https://huggingface.co/papers/2411.10442) (2024)\n* [Order Matters: Exploring Order Sensitivity in Multimodal Large Language Models](https://huggingface.co/papers/2410.16983) (2024)\n* [MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models](https://huggingface.co/papers/2410.17637) (2024)\n* [Visual Question Decomposition on Multimodal Large Language Models](https://huggingface.co/papers/2409.19339) (2024)\n* [Making Text Embedders Few-Shot Learners](https://huggingface.co/papers/2409.15700) (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`"}
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data/2411.11925.json
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{"paper_url": "https://huggingface.co/papers/2411.11925", "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* [LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding](https://huggingface.co/papers/2410.03355) (2024)\n* [HART: Efficient Visual Generation with Hybrid Autoregressive Transformer](https://huggingface.co/papers/2410.10812) (2024)\n* [M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation](https://huggingface.co/papers/2411.10433) (2024)\n* [A Survey on Vision Autoregressive Model](https://huggingface.co/papers/2411.08666) (2024)\n* [Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding](https://huggingface.co/papers/2410.01699) (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`"}
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data/2411.12044.json
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{"paper_url": "https://huggingface.co/papers/2411.12044", "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* [Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation](https://huggingface.co/papers/2411.09219) (2024)\n* [DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation](https://huggingface.co/papers/2409.15801) (2024)\n* [Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels](https://huggingface.co/papers/2409.19846) (2024)\n* [CorrCLIP: Reconstructing Correlations in CLIP with Off-the-Shelf Foundation Models for Open-Vocabulary Semantic Segmentation](https://huggingface.co/papers/2411.10086) (2024)\n* [SegEarth-OV: Towards Traning-Free Open-Vocabulary Segmentation for Remote Sensing Images](https://huggingface.co/papers/2410.01768) (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`"}
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data/2411.12240.json
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{"paper_url": "https://huggingface.co/papers/2411.12240", "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* [Towards Multilingual LLM Evaluation for European Languages](https://huggingface.co/papers/2410.08928) (2024)\n* [Performance Evaluation of Tokenizers in Large Language Models for the Assamese Language](https://huggingface.co/papers/2410.03718) (2024)\n* [Comparative Study of Multilingual Idioms and Similes in Large Language Models](https://huggingface.co/papers/2410.16461) (2024)\n* [MILU: A Multi-task Indic Language Understanding Benchmark](https://huggingface.co/papers/2411.02538) (2024)\n* [LLMs for Extremely Low-Resource Finno-Ugric Languages](https://huggingface.co/papers/2410.18902) (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`"}
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data/2411.12275.json
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{"paper_url": "https://huggingface.co/papers/2411.12275", "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* [Establishing Minimum Elements for Effective Vulnerability Management in AI Software](https://huggingface.co/papers/2411.11317) (2024)\n* [Security Threats in Agentic AI System](https://huggingface.co/papers/2410.14728) (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`"}
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data/2411.12372.json
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{"paper_url": "https://huggingface.co/papers/2411.12372", "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* [LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models](https://huggingface.co/papers/2411.11289) (2024)\n* [Training Data for Large Language Model](https://huggingface.co/papers/2411.07715) (2024)\n* [Data Processing for the OpenGPT-X Model Family](https://huggingface.co/papers/2410.08800) (2024)\n* [Improving Data Efficiency via Curating LLM-Driven Rating Systems](https://huggingface.co/papers/2410.10877) (2024)\n* [NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Experts](https://huggingface.co/papers/2411.05945) (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`"}
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data/2411.12734.json
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{"paper_url": "https://huggingface.co/papers/2411.12734", "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* [Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning](https://huggingface.co/papers/2410.21845) (2024)\n* [ALPHA-$\\alpha$ and Bi-ACT Are All You Need: Importance of Position and Force Information/Control for Imitation Learning of Unimanual and Bimanual Robotic Manipulation with Low-Cost System](https://huggingface.co/papers/2411.09942) (2024)\n* [Visuotactile-Based Learning for Insertion with Compliant Hands](https://huggingface.co/papers/2411.06408) (2024)\n* [Learning Dynamic Tasks on a Large-scale Soft Robot in a Handful of Trials](https://huggingface.co/papers/2411.07342) (2024)\n* [Robust Adaptive Safe Robotic Grasping with Tactile Sensing](https://huggingface.co/papers/2411.07833) (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`"}
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