✨V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions
📝 Summary:
The V-REX evaluation suite assesses vision-language models' multi-step reasoning and exploration capabilities through a Chain-of-Questions framework, revealing their strengths and weaknesses in planni...
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11995
• PDF: https://arxiv.org/pdf/2512.11995
• Github: https://github.com/tianyi-lab/VREX
✨ Datasets citing this paper:
• https://huggingface.co/datasets/umd-zhou-lab/V-REX
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
The V-REX evaluation suite assesses vision-language models' multi-step reasoning and exploration capabilities through a Chain-of-Questions framework, revealing their strengths and weaknesses in planni...
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11995
• PDF: https://arxiv.org/pdf/2512.11995
• Github: https://github.com/tianyi-lab/VREX
✨ Datasets citing this paper:
• https://huggingface.co/datasets/umd-zhou-lab/V-REX
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨Image Diffusion Preview with Consistency Solver
📝 Summary:
Diffusion Preview uses ConsistencySolver, a high-order trainable solver, to improve quality and consistency in low-step image generation, enhancing interactive user experiences. AI-generated summary T...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13592
• PDF: https://arxiv.org/pdf/2512.13592
• Github: https://github.com/G-U-N/consolver
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
Diffusion Preview uses ConsistencySolver, a high-order trainable solver, to improve quality and consistency in low-step image generation, enhancing interactive user experiences. AI-generated summary T...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13592
• PDF: https://arxiv.org/pdf/2512.13592
• Github: https://github.com/G-U-N/consolver
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
This media is not supported in your browser
VIEW IN TELEGRAM
✨Video Reality Test: Can AI-Generated ASMR Videos fool VLMs and Humans?
📝 Summary:
The Video Reality Test benchmark evaluates the realism and detection of AI-generated ASMR videos with audio, revealing that even the best models can deceive VLMs and humans, highlighting limitations i...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13281
• PDF: https://arxiv.org/pdf/2512.13281
• Project Page: https://video-reality-test.github.io/
• Github: https://github.com/video-reality-test/video-reality-test
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
The Video Reality Test benchmark evaluates the realism and detection of AI-generated ASMR videos with audio, revealing that even the best models can deceive VLMs and humans, highlighting limitations i...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13281
• PDF: https://arxiv.org/pdf/2512.13281
• Project Page: https://video-reality-test.github.io/
• Github: https://github.com/video-reality-test/video-reality-test
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨Aesthetic Alignment Risks Assimilation: How Image Generation and Reward Models Reinforce Beauty Bias and Ideological "Censorship"
📝 Summary:
State-of-the-art image generation and reward models exhibit bias towards conventional aesthetics, often failing to produce anti-aesthetic images as requested, thus compromising user autonomy and aesth...
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11883
• PDF: https://arxiv.org/pdf/2512.11883
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
State-of-the-art image generation and reward models exhibit bias towards conventional aesthetics, often failing to produce anti-aesthetic images as requested, thus compromising user autonomy and aesth...
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11883
• PDF: https://arxiv.org/pdf/2512.11883
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨KlingAvatar 2.0 Technical Report
📝 Summary:
KlingAvatar 2.0 addresses inefficiencies in generating long-duration, high-resolution videos by using a spatio-temporal cascade framework with a Co-Reasoning Director and Negative Director for improve...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13313
• PDF: https://arxiv.org/pdf/2512.13313
• Project Page: https://app.klingai.com/global/ai-human/image/new/
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
KlingAvatar 2.0 addresses inefficiencies in generating long-duration, high-resolution videos by using a spatio-temporal cascade framework with a Co-Reasoning Director and Negative Director for improve...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13313
• PDF: https://arxiv.org/pdf/2512.13313
• Project Page: https://app.klingai.com/global/ai-human/image/new/
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management
📝 Summary:
QwenLong-L1.5 enhances long-context reasoning through data synthesis, stabilized reinforcement learning, and memory-augmented architecture, achieving superior performance on benchmarks and general dom...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.12967
• PDF: https://arxiv.org/pdf/2512.12967
🔹 Models citing this paper:
• https://huggingface.co/Tongyi-Zhiwen/QwenLong-L1.5-30B-A3B
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
QwenLong-L1.5 enhances long-context reasoning through data synthesis, stabilized reinforcement learning, and memory-augmented architecture, achieving superior performance on benchmarks and general dom...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.12967
• PDF: https://arxiv.org/pdf/2512.12967
🔹 Models citing this paper:
• https://huggingface.co/Tongyi-Zhiwen/QwenLong-L1.5-30B-A3B
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨START: Spatial and Textual Learning for Chart Understanding
📝 Summary:
START enhances multimodal large language models by integrating spatial and textual learning through chart-element grounding and chart-to-code generation, improving chart understanding and performance ...
🔹 Publication Date: Published on Dec 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.07186
• PDF: https://arxiv.org/pdf/2512.07186
• Github: https://github.com/dragonlzm/START
🔹 Models citing this paper:
• https://huggingface.co/zhuomingliu/START
✨ Datasets citing this paper:
• https://huggingface.co/datasets/zhuomingliu/CS-Bench
• https://huggingface.co/datasets/zhuomingliu/START-Dataset
• https://huggingface.co/datasets/zhuomingliu/START_eval
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
START enhances multimodal large language models by integrating spatial and textual learning through chart-element grounding and chart-to-code generation, improving chart understanding and performance ...
🔹 Publication Date: Published on Dec 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.07186
• PDF: https://arxiv.org/pdf/2512.07186
• Github: https://github.com/dragonlzm/START
🔹 Models citing this paper:
• https://huggingface.co/zhuomingliu/START
✨ Datasets citing this paper:
• https://huggingface.co/datasets/zhuomingliu/CS-Bench
• https://huggingface.co/datasets/zhuomingliu/START-Dataset
• https://huggingface.co/datasets/zhuomingliu/START_eval
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨Memory in the Age of AI Agents
📝 Summary:
This survey provides an updated overview of agent memory research, distinguishing its forms, functions, and dynamics, and highlights emerging research directions. AI-generated summary Memory has emerg...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13564
• PDF: https://arxiv.org/pdf/2512.13564
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
This survey provides an updated overview of agent memory research, distinguishing its forms, functions, and dynamics, and highlights emerging research directions. AI-generated summary Memory has emerg...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13564
• PDF: https://arxiv.org/pdf/2512.13564
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding
📝 Summary:
ReFusion, a novel masked diffusion model, improves performance and efficiency by using slot-based parallel decoding, achieving superior results compared to autoregressive models and traditional masked...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13586
• PDF: https://arxiv.org/pdf/2512.13586
• Github: https://github.com/ML-GSAI/ReFusion
🔹 Models citing this paper:
• https://huggingface.co/GSAI-ML/ReFusion
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
ReFusion, a novel masked diffusion model, improves performance and efficiency by using slot-based parallel decoding, achieving superior results compared to autoregressive models and traditional masked...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13586
• PDF: https://arxiv.org/pdf/2512.13586
• Github: https://github.com/ML-GSAI/ReFusion
🔹 Models citing this paper:
• https://huggingface.co/GSAI-ML/ReFusion
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨Spatial-Aware VLA Pretraining through Visual-Physical Alignment from Human Videos
📝 Summary:
A Spatial-Aware VLA Pretraining paradigm improves 3D spatial understanding in robots by aligning 2D visual inputs with 3D actions using dual-encoder architecture with a 3D visual encoder. AI-generated...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13080
• PDF: https://arxiv.org/pdf/2512.13080
• Project Page: https://beingbeyond.github.io/VIPA-VLA/
• Github: https://beingbeyond.github.io/VIPA-VLA
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
A Spatial-Aware VLA Pretraining paradigm improves 3D spatial understanding in robots by aligning 2D visual inputs with 3D actions using dual-encoder architecture with a 3D visual encoder. AI-generated...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13080
• PDF: https://arxiv.org/pdf/2512.13080
• Project Page: https://beingbeyond.github.io/VIPA-VLA/
• Github: https://beingbeyond.github.io/VIPA-VLA
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨Toward Ambulatory Vision: Learning Visually-Grounded Active View Selection
📝 Summary:
VG-AVS, a task and framework fine-tunes VLMs to select the most informative next viewpoint for visual question answering, enhancing performance and generalization. AI-generated summary Vision Language...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13250
• PDF: https://arxiv.org/pdf/2512.13250
• Project Page: https://active-view-selection.github.io
• Github: https://github.com/KAIST-Visual-AI-Group/VG-AVS
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
VG-AVS, a task and framework fine-tunes VLMs to select the most informative next viewpoint for visual question answering, enhancing performance and generalization. AI-generated summary Vision Language...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13250
• PDF: https://arxiv.org/pdf/2512.13250
• Project Page: https://active-view-selection.github.io
• Github: https://github.com/KAIST-Visual-AI-Group/VG-AVS
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨LitePT: Lighter Yet Stronger Point Transformer
📝 Summary:
LitePT combines early convolutions and deep attention for 3D point clouds, using PointROPE positional encoding. This new model is highly efficient, outperforming state-of-the-art while using fewer resources.
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13689
• PDF: https://arxiv.org/pdf/2512.13689
• Project Page: https://litept.github.io/
• Github: https://github.com/prs-eth/LitePT
🔹 Models citing this paper:
• https://huggingface.co/yuanwenyue/LitePT
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
LitePT combines early convolutions and deep attention for 3D point clouds, using PointROPE positional encoding. This new model is highly efficient, outperforming state-of-the-art while using fewer resources.
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13689
• PDF: https://arxiv.org/pdf/2512.13689
• Project Page: https://litept.github.io/
• Github: https://github.com/prs-eth/LitePT
🔹 Models citing this paper:
• https://huggingface.co/yuanwenyue/LitePT
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer
📝 Summary:
AEGIS, a Vision-Language-Safe Action architecture with a plug-and-play safety constraint layer using control barrier functions, enhances safety and performance in robotic manipulation tasks. AI-genera...
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11891
• PDF: https://arxiv.org/pdf/2512.11891
• Github: https://vlsa-aegis.github.io
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
AEGIS, a Vision-Language-Safe Action architecture with a plug-and-play safety constraint layer using control barrier functions, enhances safety and performance in robotic manipulation tasks. AI-genera...
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11891
• PDF: https://arxiv.org/pdf/2512.11891
• Github: https://vlsa-aegis.github.io
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
Media is too big
VIEW IN TELEGRAM
✨Towards Interactive Intelligence for Digital Humans
📝 Summary:
Interactive Intelligence, realized through Mio framework, enables advanced digital humans with personality, adaptive interactions, and self-evolution, surpassing current benchmarks. AI-generated summa...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13674
• PDF: https://arxiv.org/pdf/2512.13674
• Project Page: https://shandaai.github.io/project_mio_page/
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#DigitalHumans #InteractiveAI #ArtificialIntelligence #AIResearch #VirtualAgents
📝 Summary:
Interactive Intelligence, realized through Mio framework, enables advanced digital humans with personality, adaptive interactions, and self-evolution, surpassing current benchmarks. AI-generated summa...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13674
• PDF: https://arxiv.org/pdf/2512.13674
• Project Page: https://shandaai.github.io/project_mio_page/
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#DigitalHumans #InteractiveAI #ArtificialIntelligence #AIResearch #VirtualAgents
✨DiffusionBrowser: Interactive Diffusion Previews via Multi-Branch Decoders
📝 Summary:
DiffusionBrowser is a lightweight decoder for interactive video previews during diffusion model denoising. It enables fast multi-modal previews, enhancing user control and revealing how video details are composed internally.
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13690
• PDF: https://arxiv.org/pdf/2512.13690
• Github: https://susunghong.github.io/DiffusionBrowser
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
DiffusionBrowser is a lightweight decoder for interactive video previews during diffusion model denoising. It enables fast multi-modal previews, enhancing user control and revealing how video details are composed internally.
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13690
• PDF: https://arxiv.org/pdf/2512.13690
• Github: https://susunghong.github.io/DiffusionBrowser
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨RecTok: Reconstruction Distillation along Rectified Flow
📝 Summary:
RecTok improves diffusion models by enriching forward flow semantics and enhancing reconstruction, achieving state-of-the-art results with high-dimensional visual tokenizers. AI-generated summary Visu...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13421
• PDF: https://arxiv.org/pdf/2512.13421
• Project Page: https://shi-qingyu.github.io/rectok.github.io/
• Github: https://github.com/Shi-qingyu/RecTok
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
RecTok improves diffusion models by enriching forward flow semantics and enhancing reconstruction, achieving state-of-the-art results with high-dimensional visual tokenizers. AI-generated summary Visu...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13421
• PDF: https://arxiv.org/pdf/2512.13421
• Project Page: https://shi-qingyu.github.io/rectok.github.io/
• Github: https://github.com/Shi-qingyu/RecTok
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨Self-Supervised Prompt Optimization
📝 Summary:
A self-supervised framework optimizes prompts for both closed and open-ended tasks by evaluating LLM outputs without external references, reducing costs and required data. AI-generated summary Well-de...
🔹 Publication Date: Published on Feb 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2502.06855
• PDF: https://arxiv.org/pdf/2502.06855
• Github: https://github.com/geekan/metagpt
✨ Spaces citing this paper:
• https://huggingface.co/spaces/XiangJinYu/SPO
• https://huggingface.co/spaces/tang-x/SPO
• https://huggingface.co/spaces/ositamiles/SPO
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
A self-supervised framework optimizes prompts for both closed and open-ended tasks by evaluating LLM outputs without external references, reducing costs and required data. AI-generated summary Well-de...
🔹 Publication Date: Published on Feb 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2502.06855
• PDF: https://arxiv.org/pdf/2502.06855
• Github: https://github.com/geekan/metagpt
✨ Spaces citing this paper:
• https://huggingface.co/spaces/XiangJinYu/SPO
• https://huggingface.co/spaces/tang-x/SPO
• https://huggingface.co/spaces/ositamiles/SPO
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨DeepSeek-V3 Technical Report
📝 Summary:
DeepSeek-V3 is a parameter-efficient Mixture-of-Experts language model using MLA and DeepSeekMoE architectures, achieving high performance with efficient training and minimal computational cost. AI-ge...
🔹 Publication Date: Published on Dec 27, 2024
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2412.19437
• PDF: https://arxiv.org/pdf/2412.19437
• Github: https://github.com/deepseek-ai/deepseek-v3
🔹 Models citing this paper:
• https://huggingface.co/deepseek-ai/DeepSeek-V3
• https://huggingface.co/deepseek-ai/DeepSeek-V3-0324
• https://huggingface.co/deepseek-ai/DeepSeek-V3-Base
✨ Spaces citing this paper:
• https://huggingface.co/spaces/nanotron/ultrascale-playbook
• https://huggingface.co/spaces/weege007/ultrascale-playbook
• https://huggingface.co/spaces/Ki-Seki/ultrascale-playbook-zh-cn
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
DeepSeek-V3 is a parameter-efficient Mixture-of-Experts language model using MLA and DeepSeekMoE architectures, achieving high performance with efficient training and minimal computational cost. AI-ge...
🔹 Publication Date: Published on Dec 27, 2024
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2412.19437
• PDF: https://arxiv.org/pdf/2412.19437
• Github: https://github.com/deepseek-ai/deepseek-v3
🔹 Models citing this paper:
• https://huggingface.co/deepseek-ai/DeepSeek-V3
• https://huggingface.co/deepseek-ai/DeepSeek-V3-0324
• https://huggingface.co/deepseek-ai/DeepSeek-V3-Base
✨ Spaces citing this paper:
• https://huggingface.co/spaces/nanotron/ultrascale-playbook
• https://huggingface.co/spaces/weege007/ultrascale-playbook
• https://huggingface.co/spaces/Ki-Seki/ultrascale-playbook-zh-cn
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
arXiv.org
DeepSeek-V3 Technical Report
We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token. To achieve efficient inference and cost-effective training,...
✨DeepSeek-OCR: Contexts Optical Compression
📝 Summary:
DeepSeek-OCR uses optical 2D mapping to compress long contexts, achieving high OCR precision with reduced vision tokens and demonstrating practical value in document processing. AI-generated summary W...
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxivexplained.com/papers/deepseek-ocr-contexts-optical-compression
• PDF: https://arxiv.org/pdf/2510.18234
• Github: https://github.com/deepseek-ai/DeepSeek-OCR
🔹 Models citing this paper:
• https://huggingface.co/deepseek-ai/DeepSeek-OCR
• https://huggingface.co/unsloth/DeepSeek-OCR
• https://huggingface.co/Jalea96/DeepSeek-OCR-bnb-4bit-NF4
✨ Spaces citing this paper:
• https://huggingface.co/spaces/merterbak/DeepSeek-OCR-Demo
• https://huggingface.co/spaces/khang119966/DeepSeek-OCR-DEMO
• https://huggingface.co/spaces/prithivMLmods/Super-OCRs-Demo
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
DeepSeek-OCR uses optical 2D mapping to compress long contexts, achieving high OCR precision with reduced vision tokens and demonstrating practical value in document processing. AI-generated summary W...
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxivexplained.com/papers/deepseek-ocr-contexts-optical-compression
• PDF: https://arxiv.org/pdf/2510.18234
• Github: https://github.com/deepseek-ai/DeepSeek-OCR
🔹 Models citing this paper:
• https://huggingface.co/deepseek-ai/DeepSeek-OCR
• https://huggingface.co/unsloth/DeepSeek-OCR
• https://huggingface.co/Jalea96/DeepSeek-OCR-bnb-4bit-NF4
✨ Spaces citing this paper:
• https://huggingface.co/spaces/merterbak/DeepSeek-OCR-Demo
• https://huggingface.co/spaces/khang119966/DeepSeek-OCR-DEMO
• https://huggingface.co/spaces/prithivMLmods/Super-OCRs-Demo
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
Arxivexplained
DeepSeek-OCR: Contexts Optical Compression - Explained Simply
By Haoran Wei, Yaofeng Sun, Yukun Li. # DeepSeek-OCR: A Game-Changer for Processing Text-Heavy Documents
**The Problem:** Current AI syst...
**The Problem:** Current AI syst...