ML Research Hub – Telegram
ML Research Hub
32.8K subscribers
4.36K photos
267 videos
23 files
4.71K links
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

Admin: @HusseinSheikho || @Hussein_Sheikho
Download Telegram
🔹 Title: SimKO: Simple Pass@K Policy Optimization

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14807
• PDF: https://arxiv.org/pdf/2510.14807
• Project Page: https://spherelab.ai/simko/
• Github: https://github.com/CLR-Lab/SimKO

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: Agentic Design of Compositional Machines

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14980
• PDF: https://arxiv.org/pdf/2510.14980
• Project Page: https://besiegefield.github.io/
• Github: https://besiegefield.github.io/

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: GroundedPRM: Tree-Guided and Fidelity-Aware Process Reward Modeling for Step-Level Reasoning

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14942
• PDF: https://arxiv.org/pdf/2510.14942

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: Mirror Speculative Decoding: Breaking the Serial Barrier in LLM Inference

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13161
• PDF: https://arxiv.org/pdf/2510.13161

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: Synthesizing Agentic Data for Web Agents with Progressive Difficulty Enhancement Mechanisms

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13913
• PDF: https://arxiv.org/pdf/2510.13913

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: FML-bench: A Benchmark for Automatic ML Research Agents Highlighting the Importance of Exploration Breadth

🔹 Publication Date: Published on Oct 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.10472
• PDF: https://arxiv.org/pdf/2510.10472
• Project Page: https://github.com/qrzou/FML-bench
• Github: https://github.com/qrzou/FML-bench

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: Unlocking Out-of-Distribution Generalization in Transformers via Recursive Latent Space Reasoning

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14095
• PDF: https://arxiv.org/pdf/2510.14095
• Github: https://github.com/Awni00/algorithmic-generalization-transformer-architectures

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14240
• PDF: https://arxiv.org/pdf/2510.14240

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: LLMs Can Get "Brain Rot"!

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13928
• PDF: https://arxiv.org/pdf/2510.13928

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: Predicting Task Performance with Context-aware Scaling Laws

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14919
• PDF: https://arxiv.org/pdf/2510.14919
• Github: https://github.com/wang-research-lab/context-scaling

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: Budget-aware Test-time Scaling via Discriminative Verification

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14913
• PDF: https://arxiv.org/pdf/2510.14913
• Github: https://github.com/wang-research-lab/verification

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🤖🧠 Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity

🗓️ 18 Oct 2025
📚 AI News & Trends

Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...

#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel
3❤‍🔥1
🤖🧠 Unleashing the Power of AI with Open Agent Builder: A Visual Workflow Tool for AI Agents

🗓️ 19 Oct 2025
📚 AI News & Trends

In today’s rapidly advancing technological landscape, artificial intelligence (AI) is not just a buzzword, it’s a transformative force across industries. From automating complex tasks to streamlining operations, AI is revolutionizing workflows. However, designing and deploying AI-driven workflows has traditionally required expert-level programming knowledge. Enter Open Agent Builder, a revolutionary tool that democratizes the creation of ...

#AI #ArtificialIntelligence #OpenAgentBuilder #AIAgents #VisualWorkflow #TechInnovation
Forwarded from Free Online Courses
⭐️ Hello my advertiser friend!

I’m Eng. Hussein Sheikho 👋 and I’m excited to share our special promotional offer with you! 🎯

💥 Promo Offer:
Promote your ad across all our listed channels for only $35! 💰
📢 We accept all types and formats of advertisements.

Publishing Plan:
Your ad will be published for 20 days across all our channels,
plus it will be pinned for 7 days 🔝

🧑‍💻 For Programming Channel Owners Only:
Want your tech channel to grow fast? 🚀
You can add your channel to our promo folder for just $20/month
average growth rate 2000+ subscribers/month 📈

📩 Contact me for more details:
👉 t.me/HusseinSheikho

🌱 Let’s grow together!

Our Share folder (our channels) 👇
https://news.1rj.ru/str/addlist/8_rRW2scgfRhOTc0
Please open Telegram to view this post
VIEW IN TELEGRAM
2❤‍🔥1🙏1
ML Research Hub pinned «⭐️ Hello my advertiser friend! I’m Eng. Hussein Sheikho 👋 and I’m excited to share our special promotional offer with you! 🎯 💥 Promo Offer: Promote your ad across all our listed channels for only $35! 💰 📢 We accept all types and formats of advertisements.…»
🔹 Title: MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14265
• PDF: https://arxiv.org/pdf/2510.14265
• Github: https://github.com/OpenDCAI/MorphoBench

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery

🔹 Publication Date: Published on Oct 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15869
• PDF: https://arxiv.org/pdf/2510.15869
• Project Page: https://skyfall-gs.jayinnn.dev/
• Github: https://github.com/jayin92/skyfall-gs

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM

🔹 Publication Date: Published on Oct 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15870
• PDF: https://arxiv.org/pdf/2510.15870
• Project Page: https://nvlabs.github.io/OmniVinci/
• Github: https://github.com/NVlabs/OmniVinci

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: BLIP3o-NEXT: Next Frontier of Native Image Generation

🔹 Publication Date: Published on Oct 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15857
• PDF: https://arxiv.org/pdf/2510.15857
• Project Page: https://jiuhaichen.github.io/BLIP3o-NEXT.github.io/

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: Imaginarium: Vision-guided High-Quality 3D Scene Layout Generation

🔹 Publication Date: Published on Oct 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15564
• PDF: https://arxiv.org/pdf/2510.15564
• Github: https://github.com/HiHiAllen/Imaginarium

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research Agents

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14438
• PDF: https://arxiv.org/pdf/2510.14438
• Github: https://github.com/Tencent/WebAggregator

🔹 Datasets citing this paper:
https://huggingface.co/datasets/CognitiveKernel/WebAggregatorQA

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT