ML Research Hub
32.8K subscribers
4.32K photos
263 videos
23 files
4.67K links
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

Admin: @HusseinSheikho || @Hussein_Sheikho
Download Telegram
πŸ€–πŸ§  Google’s GenAI MCP Toolbox for Databases: Transforming AI-Powered Data Management

πŸ—“οΈ 28 Oct 2025
πŸ“š AI News & Trends

In the era of artificial intelligence, where data fuels innovation and decision-making, the need for efficient and intelligent data management tools has never been greater. Traditional methods of database management often require deep technical expertise and manual oversight, slowing down development cycles and creating operational bottlenecks. To address these challenges, Google has introduced the GenAI ...

#Google #GenAI #Database #AIPowered #DataManagement #MachineLearning
πŸ€–πŸ§  Wren AI: Transforming Business Intelligence with Generative AI

πŸ—“οΈ 28 Oct 2025
πŸ“š AI News & Trends

In the evolving world of data and analytics, one thing is certain β€” the ability to transform raw data into actionable insights defines success. Organizations today are generating more data than ever before, yet accessing and understanding that data remains a significant challenge. Traditional business intelligence tools require technical expertise, SQL knowledge and manual configuration. ...

#WrenAI #GenerativeAI #BusinessIntelligence #DataAnalytics #AI #Insights
πŸ”Ή Title: VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set

πŸ”Ή Publication Date: Published on Oct 24

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.21323
β€’ PDF: https://arxiv.org/pdf/2510.21323
β€’ Github: https://github.com/ssfgunner/VL-SAE

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: Tongyi DeepResearch Technical Report

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24701
β€’ PDF: https://arxiv.org/pdf/2510.24701
β€’ Project Page: https://tongyi-agent.github.io/blog/introducing-tongyi-deep-research/
β€’ Github: https://github.com/Alibaba-NLP/DeepResearch

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24591
β€’ PDF: https://arxiv.org/pdf/2510.24591

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: OSWorld-MCP: Benchmarking MCP Tool Invocation In Computer-Use Agents

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24563
β€’ PDF: https://arxiv.org/pdf/2510.24563
β€’ Project Page: https://osworld-mcp.github.io/

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: RoboOmni: Proactive Robot Manipulation in Omni-modal Context

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.23763
β€’ PDF: https://arxiv.org/pdf/2510.23763
β€’ Project Page: https://OpenMOSS.github.io/RoboOmni
β€’ Github: https://github.com/OpenMOSS/RoboOmni

πŸ”Ή Datasets citing this paper:
β€’ https://huggingface.co/datasets/fnlp/OmniAction
β€’ https://huggingface.co/datasets/fnlp/OmniAction-LIBERO

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ‘1
πŸ”Ή Title: Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24320
β€’ PDF: https://arxiv.org/pdf/2510.24320
β€’ Github: https://github.com/WooooDyy/Critique-RL

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: Latent Sketchpad: Sketching Visual Thoughts to Elicit Multimodal Reasoning in MLLMs

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24514
β€’ PDF: https://arxiv.org/pdf/2510.24514
β€’ Project Page: https://latent-sketchpad.github.io/
β€’ Github: https://github.com/hwanyu112/Latent-Sketchpad

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24711
β€’ PDF: https://arxiv.org/pdf/2510.24711

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: ParallelMuse: Agentic Parallel Thinking for Deep Information Seeking

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24698
β€’ PDF: https://arxiv.org/pdf/2510.24698
β€’ Github: https://github.com/Alibaba-NLP/DeepResearch

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: AgentFold: Long-Horizon Web Agents with Proactive Context Management

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24699
β€’ PDF: https://arxiv.org/pdf/2510.24699
β€’ Github: https://github.com/Alibaba-NLP/DeepResearch

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ‘1
πŸ”Ή Title: WebLeaper: Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24697
β€’ PDF: https://arxiv.org/pdf/2510.24697
β€’ Github: https://github.com/Alibaba-NLP/DeepResearch

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: AgentFrontier: Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24695
β€’ PDF: https://arxiv.org/pdf/2510.24695
β€’ Github: https://github.com/Alibaba-NLP/DeepResearch

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: Repurposing Synthetic Data for Fine-grained Search Agent Supervision

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24694
β€’ PDF: https://arxiv.org/pdf/2510.24694
β€’ Github: https://github.com/Alibaba-NLP/DeepResearch

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: FunReason-MT Technical Report: Overcoming the Complexity Barrier in Multi-Turn Function Calling

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24645
β€’ PDF: https://arxiv.org/pdf/2510.24645

πŸ”Ή Datasets citing this paper:
β€’ https://huggingface.co/datasets/Bingguang/FunReason-MT

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: Game-TARS: Pretrained Foundation Models for Scalable Generalist Multimodal Game Agents

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.23691
β€’ PDF: https://arxiv.org/pdf/2510.23691
β€’ Project Page: https://seed-tars.com/game-tars

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: Generalization or Memorization: Dynamic Decoding for Mode Steering

πŸ”Ή Publication Date: Published on Oct 25

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.22099
β€’ PDF: https://arxiv.org/pdf/2510.22099

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: Rethinking Visual Intelligence: Insights from Video Pretraining

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24448
β€’ PDF: https://arxiv.org/pdf/2510.24448

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: InteractComp: Evaluating Search Agents With Ambiguous Queries

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24668
β€’ PDF: https://arxiv.org/pdf/2510.24668

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT
πŸ”Ή Title: Group Relative Attention Guidance for Image Editing

πŸ”Ή Publication Date: Published on Oct 28

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.24657
β€’ PDF: https://arxiv.org/pdf/2510.24657
β€’ Project Page: https://little-misfit.github.io/GRAG-Image-Editing/
β€’ Github: https://github.com/little-misfit/GRAG-Image-Editing

πŸ”Ή Datasets citing this paper:
No datasets found

πŸ”Ή Spaces citing this paper:
No spaces found
==================================

For more data science resources:
βœ“ https://t.me/DataScienceT