πΉ Title: Remote Labor Index: Measuring AI Automation of Remote Work
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26787
β’ PDF: https://arxiv.org/pdf/2510.26787
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26787
β’ PDF: https://arxiv.org/pdf/2510.26787
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: Can Agent Conquer Web? Exploring the Frontiers of ChatGPT Atlas Agent in Web Games
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26298
β’ PDF: https://arxiv.org/pdf/2510.26298
β’ Project Page: https://atlas-game-eval.github.io/
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26298
β’ PDF: https://arxiv.org/pdf/2510.26298
β’ Project Page: https://atlas-game-eval.github.io/
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
πΉ Publication Date: Published on Oct 29
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.25992
β’ PDF: https://arxiv.org/pdf/2510.25992
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 29
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.25992
β’ PDF: https://arxiv.org/pdf/2510.25992
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: Counteracting Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26474
β’ PDF: https://arxiv.org/pdf/2510.26474
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26474
β’ PDF: https://arxiv.org/pdf/2510.26474
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: OmniX: From Unified Panoramic Generation and Perception to Graphics-Ready 3D Scenes
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26800
β’ PDF: https://arxiv.org/pdf/2510.26800
β’ Project Page: https://yukun-huang.github.io/OmniX/
β’ Github: https://yukun-huang.github.io/OmniX/
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26800
β’ PDF: https://arxiv.org/pdf/2510.26800
β’ Project Page: https://yukun-huang.github.io/OmniX/
β’ Github: https://yukun-huang.github.io/OmniX/
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: The Quest for Generalizable Motion Generation: Data, Model, and Evaluation
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26794
β’ PDF: https://arxiv.org/pdf/2510.26794
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26794
β’ PDF: https://arxiv.org/pdf/2510.26794
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation
πΉ Publication Date: Published on Oct 29
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.25132
β’ PDF: https://arxiv.org/pdf/2510.25132
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 29
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.25132
β’ PDF: https://arxiv.org/pdf/2510.25132
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26160
β’ PDF: https://arxiv.org/pdf/2510.26160
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26160
β’ PDF: https://arxiv.org/pdf/2510.26160
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: FullPart: Generating each 3D Part at Full Resolution
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26140
β’ PDF: https://arxiv.org/pdf/2510.26140
β’ Project Page: https://fullpart3d.github.io/
β’ Github: https://github.com/hkdsc/fullpart
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26140
β’ PDF: https://arxiv.org/pdf/2510.26140
β’ Project Page: https://fullpart3d.github.io/
β’ Github: https://github.com/hkdsc/fullpart
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
πΉ Publication Date: Published on Oct 27
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.25779
β’ PDF: https://arxiv.org/pdf/2510.25779
β’ Github: https://github.com/microsoft/multi-agent-marketplace
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 27
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.25779
β’ PDF: https://arxiv.org/pdf/2510.25779
β’ Github: https://github.com/microsoft/multi-agent-marketplace
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: AMO-Bench: Large Language Models Still Struggle in High School Math Competitions
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/pdf/2510.26768
β’ PDF: https://arxiv.org/pdf/2510.26768
β’ Project Page: https://amo-bench.github.io/
β’ Github: https://amo-bench.github.io/
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/meituan-longcat/AMO-Bench
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/pdf/2510.26768
β’ PDF: https://arxiv.org/pdf/2510.26768
β’ Project Page: https://amo-bench.github.io/
β’ Github: https://amo-bench.github.io/
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/meituan-longcat/AMO-Bench
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: EHR-R1: A Reasoning-Enhanced Foundational Language Model for Electronic Health Record Analysis
πΉ Publication Date: Published on Oct 29
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.25628
β’ PDF: https://arxiv.org/pdf/2510.25628
β’ Github: https://github.com/MAGIC-AI4Med/EHR-R1
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 29
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.25628
β’ PDF: https://arxiv.org/pdf/2510.25628
β’ Github: https://github.com/MAGIC-AI4Med/EHR-R1
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
Forwarded from Machine Learning with Python
πΉ Title: The Era of Agentic Organization: Learning to Organize with Language Models
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26658
β’ PDF: https://arxiv.org/pdf/2510.26658
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26658
β’ PDF: https://arxiv.org/pdf/2510.26658
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: OmniLayout: Enabling Coarse-to-Fine Learning with LLMs for Universal Document Layout Generation
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26213
β’ PDF: https://arxiv.org/pdf/2510.26213
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26213
β’ PDF: https://arxiv.org/pdf/2510.26213
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
β€1
πΉ Title: Exploring Conditions for Diffusion models in Robotic Control
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15510
β’ PDF: https://arxiv.org/pdf/2510.15510
β’ Project Page: https://orca-rc.github.io/
β’ Github: https://orca-rc.github.io/
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15510
β’ PDF: https://arxiv.org/pdf/2510.15510
β’ Project Page: https://orca-rc.github.io/
β’ Github: https://orca-rc.github.io/
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: ChartAB: A Benchmark for Chart Grounding & Dense Alignment
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26781
β’ PDF: https://arxiv.org/pdf/2510.26781
β’ Project Page: https://huggingface.co/datasets/umd-zhou-lab/ChartAlignBench
β’ Github: https://github.com/tianyi-lab/ChartAlignBench
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 30
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.26781
β’ PDF: https://arxiv.org/pdf/2510.26781
β’ Project Page: https://huggingface.co/datasets/umd-zhou-lab/ChartAlignBench
β’ Github: https://github.com/tianyi-lab/ChartAlignBench
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: MIRO: MultI-Reward cOnditioned pretraining improves T2I quality and efficiency
πΉ Publication Date: Published on Oct 29
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.25897
β’ PDF: https://arxiv.org/pdf/2510.25897
β’ Project Page: https://nicolas-dufour.github.io/miro/
β’ Github: https://nicolas-dufour.github.io/miro/
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 29
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.25897
β’ PDF: https://arxiv.org/pdf/2510.25897
β’ Project Page: https://nicolas-dufour.github.io/miro/
β’ Github: https://nicolas-dufour.github.io/miro/
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
Forwarded from Kaggle Data Hub
Is Your Crypto Transfer Secure?
Score Your Transfer analyzes wallet activity, flags risky transactions in real time, and generates downloadable compliance reportsβno technical skills needed. Protect funds & stay compliant.
Sponsored By WaybienAds
Score Your Transfer analyzes wallet activity, flags risky transactions in real time, and generates downloadable compliance reportsβno technical skills needed. Protect funds & stay compliant.
Sponsored By WaybienAds
πΉ Title: Surfer 2: The Next Generation of Cross-Platform Computer Use Agents
πΉ Publication Date: Published on Oct 22
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.19949
β’ PDF: https://arxiv.org/pdf/2510.19949
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 22
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.19949
β’ PDF: https://arxiv.org/pdf/2510.19949
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT