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§  Agentic Entropy-Balanced Policy Optimization (AEPO): Balancing Exploration and Stability in Reinforcement Learning for Web Agents

πŸ—“οΈ 17 Oct 2025
πŸ“š AI News & Trends

AEPO (Agentic Entropy-Balanced Policy Optimization) represents a major advancement in the evolution of Agentic Reinforcement Learning (RL). As large language models (LLMs) increasingly act as autonomous web agents – searching, reasoning and interacting with tools – the need for balanced exploration and stability has become crucial. Traditional RL methods often rely heavily on entropy to ...

#AgenticRL #ReinforcementLearning #LLMs #WebAgents #EntropyBalanced #PolicyOptimization
❀2
πŸ”Ή Title: SimKO: Simple Pass@K Policy Optimization

πŸ”Ή Publication Date: Published on Oct 16

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.14807
β€’ PDF: https://arxiv.org/pdf/2510.14807
β€’ Project Page: https://spherelab.ai/simko/
β€’ Github: https://github.com/CLR-Lab/SimKO

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: Agentic Design of Compositional Machines

πŸ”Ή Publication Date: Published on Oct 16

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.14980
β€’ PDF: https://arxiv.org/pdf/2510.14980
β€’ Project Page: https://besiegefield.github.io/
β€’ Github: https://besiegefield.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: GroundedPRM: Tree-Guided and Fidelity-Aware Process Reward Modeling for Step-Level Reasoning

πŸ”Ή Publication Date: Published on Oct 16

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.14942
β€’ PDF: https://arxiv.org/pdf/2510.14942

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: Mirror Speculative Decoding: Breaking the Serial Barrier in LLM Inference

πŸ”Ή Publication Date: Published on Oct 15

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.13161
β€’ PDF: https://arxiv.org/pdf/2510.13161

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: Synthesizing Agentic Data for Web Agents with Progressive Difficulty Enhancement Mechanisms

πŸ”Ή Publication Date: Published on Oct 15

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.13913
β€’ PDF: https://arxiv.org/pdf/2510.13913

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: FML-bench: A Benchmark for Automatic ML Research Agents Highlighting the Importance of Exploration Breadth

πŸ”Ή Publication Date: Published on Oct 12

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.10472
β€’ PDF: https://arxiv.org/pdf/2510.10472
β€’ Project Page: https://github.com/qrzou/FML-bench
β€’ Github: https://github.com/qrzou/FML-bench

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: Unlocking Out-of-Distribution Generalization in Transformers via Recursive Latent Space Reasoning

πŸ”Ή Publication Date: Published on Oct 15

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.14095
β€’ PDF: https://arxiv.org/pdf/2510.14095
β€’ Github: https://github.com/Awni00/algorithmic-generalization-transformer-architectures

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: LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild

πŸ”Ή Publication Date: Published on Oct 16

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.14240
β€’ PDF: https://arxiv.org/pdf/2510.14240

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: LLMs Can Get "Brain Rot"!

πŸ”Ή Publication Date: Published on Oct 15

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.13928
β€’ PDF: https://arxiv.org/pdf/2510.13928

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: Predicting Task Performance with Context-aware Scaling Laws

πŸ”Ή Publication Date: Published on Oct 16

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.14919
β€’ PDF: https://arxiv.org/pdf/2510.14919
β€’ Github: https://github.com/wang-research-lab/context-scaling

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: Budget-aware Test-time Scaling via Discriminative Verification

πŸ”Ή Publication Date: Published on Oct 16

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.14913
β€’ PDF: https://arxiv.org/pdf/2510.14913
β€’ Github: https://github.com/wang-research-lab/verification

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€–πŸ§  Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity

πŸ—“οΈ 18 Oct 2025
πŸ“š 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❀‍πŸ”₯1
πŸ€–πŸ§  Unleashing the Power of AI with Open Agent Builder: A Visual Workflow Tool for AI Agents

πŸ—“οΈ 19 Oct 2025
πŸ“š 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 πŸ‘‹ and I’m excited to share our special promotional offer with you! 🎯

πŸ’₯ Promo Offer:
Promote your ad across all our listed channels for only $35! πŸ’°
πŸ“’ We accept all types and formats of advertisements.

βœ… Publishing Plan:
Your ad will be published for 20 days across all our channels,
plus it will be pinned for 7 days πŸ”

πŸ§‘β€πŸ’» For Programming Channel Owners Only:
Want your tech channel to grow fast? πŸš€
You can add your channel to our promo folder for just $20/month β€”
average growth rate 2000+ subscribers/month πŸ“ˆ

πŸ“© Contact me for more details:
πŸ‘‰ t.me/HusseinSheikho

🌱 Let’s grow together!

Our Share folder (our channels) πŸ‘‡
https://t.me/addlist/8_rRW2scgfRhOTc0
Please open Telegram to view this post
VIEW IN TELEGRAM
❀2❀‍πŸ”₯1πŸ™1
ML Research Hub pinned «⭐️ Hello my advertiser friend! I’m Eng. Hussein Sheikho πŸ‘‹ and I’m excited to share our special promotional offer with you! 🎯 πŸ’₯ Promo Offer: Promote your ad across all our listed channels for only $35! πŸ’° πŸ“’ We accept all types and formats of advertisements.…»
πŸ”Ή Title: MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning

πŸ”Ή Publication Date: Published on Oct 16

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.14265
β€’ PDF: https://arxiv.org/pdf/2510.14265
β€’ Github: https://github.com/OpenDCAI/MorphoBench

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: Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery

πŸ”Ή Publication Date: Published on Oct 17

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.15869
β€’ PDF: https://arxiv.org/pdf/2510.15869
β€’ Project Page: https://skyfall-gs.jayinnn.dev/
β€’ Github: https://github.com/jayin92/skyfall-gs

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: OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM

πŸ”Ή Publication Date: Published on Oct 17

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.15870
β€’ PDF: https://arxiv.org/pdf/2510.15870
β€’ Project Page: https://nvlabs.github.io/OmniVinci/
β€’ Github: https://github.com/NVlabs/OmniVinci

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: BLIP3o-NEXT: Next Frontier of Native Image Generation

πŸ”Ή Publication Date: Published on Oct 17

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.15857
β€’ PDF: https://arxiv.org/pdf/2510.15857
β€’ Project Page: https://jiuhaichen.github.io/BLIP3o-NEXT.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: Imaginarium: Vision-guided High-Quality 3D Scene Layout Generation

πŸ”Ή Publication Date: Published on Oct 17

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.15564
β€’ PDF: https://arxiv.org/pdf/2510.15564
β€’ Github: https://github.com/HiHiAllen/Imaginarium

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