ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

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πŸ€–πŸ§  Quivr AI: Building Your Second Brain with Open-Source Generative Intelligence

πŸ—“οΈ 12 Oct 2025
πŸ“š AI News & Trends

In the rapidly evolving landscape of artificial intelligence, developers and businesses are seeking solutions that merge flexibility, power, and simplicity. Enter Quivr β€” an open-source framework designed to help you build your own β€œsecond brain” powered by Generative AI. Whether you’re an indie developer, startup founder or enterprise engineer, it makes it possible to integrate ...

#QuivrAI #SecondBrain #GenerativeAI #OpenSourceAI #AIFramework #AIProductivity
πŸ€–πŸ§  HunyuanWorld-Mirror: Tencent’s Breakthrough in Universal 3D Reconstruction

πŸ—“οΈ 03 Nov 2025
πŸ“š AI News & Trends

The race toward achieving universal 3D understanding has reached a significant milestone with Tencent’s HunyuanWorld-Mirror, a cutting-edge open-source model designed to revolutionize 3D reconstruction. In an era dominated by visual intelligence and immersive digital experiences, this new model stands out by offering a feed-forward, geometry-aware framework that can predict multiple 3D outputs in a single ...

#HunyuanWorld #Tencent #3DReconstruction #UniversalAI #GeometryAware #OpenSourceAI
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✨WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning

πŸ“ Summary:
WebSailor is a post-training method that teaches open-source AI models to systematically reduce uncertainty in complex information-seeking tasks. Using synthetic high-uncertainty tasks and an RL algorithm, it enables open-source agents to match the performance of proprietary systems.

πŸ”Ή Publication Date: Published on Sep 16

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2509.13305
β€’ PDF: https://arxiv.org/pdf/2509.13305
β€’ Project Page: https://tongyi-agent.github.io/blog/
β€’ Github: https://tongyi-agent.github.io/blog/

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

#AI #ReinforcementLearning #OpenSourceAI #AIAgents #MachineLearning
✨InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

πŸ“ Summary:
InternVL3 introduces a native multimodal pre-training paradigm, jointly learning from multimodal and text data to overcome conventional alignment challenges. This unified approach, combined with advanced techniques, achieves state-of-the-art performance on multimodal tasks, rivaling proprietary m...

πŸ”Ή Publication Date: Published on Apr 14

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2504.10479
β€’ PDF: https://arxiv.org/pdf/2504.10479
β€’ Project Page: https://internvl.github.io/blog/2025-04-11-InternVL-3.0/

πŸ”Ή Models citing this paper:
β€’ https://huggingface.co/OpenGVLab/InternVL3-78B
β€’ https://huggingface.co/OpenGVLab/InternVL3_5-241B-A28B
β€’ https://huggingface.co/OpenGVLab/InternVL3-8B

✨ Datasets citing this paper:
β€’ https://huggingface.co/datasets/OpenGVLab/MMPR-v1.2-prompts

✨ Spaces citing this paper:
β€’ https://huggingface.co/spaces/AntResearchNLP/ViLaBench
β€’ https://huggingface.co/spaces/TIGER-Lab/MEGA-Bench
β€’ https://huggingface.co/spaces/prithivMLmods/Tiny-VLMs-Lab

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

#MultimodalAI #DeepLearning #AIResearch #OpenSourceAI #GenerativeAI
πŸ€–πŸ§  vLLM Semantic Router: The Next Frontier in Intelligent Model Routing for LLMs

πŸ—“οΈ 11 Nov 2025
πŸ“š AI News & Trends

As large language models (LLMs) continue to evolve, organizations face new challenges in optimizing performance, accuracy and cost across various AI workloads. Running multiple models efficiently – each specialized for specific tasks has become essential for scalable AI deployment. Enter vLLM Semantic Router, an open-source innovation that introduces a new layer of intelligence to the ...

#vLLMSemanticRouter #LargeLanguageModels #AIScaling #ModelRouting #OpenSourceAI #LLMOptimization
πŸ€–πŸ§  Plandex AI: The Future of Autonomous Coding Agents for Large-Scale Development

πŸ—“οΈ 11 Nov 2025
πŸ“š AI News & Trends

As software development becomes increasingly complex, developers are turning to AI tools that can manage, understand and automate large portions of the coding workflow. Among the most promising innovations in this space is Plandex AI, an open-source terminal-based coding agent designed for real-world, large-scale projects. Unlike simple AI coding assistants that handle small snippets, Plandex ...

#PlandexAI #AutonomousCoding #LargeScaleDevelopment #AICoding #OpenSourceAI #CodeAutomation
πŸ€–πŸ§  Bytebot: The Future of AI Desktop Automation

πŸ—“οΈ 12 Nov 2025
πŸ“š AI News & Trends

In the era of rapid digital transformation, automation is the driving force behind business efficiency and innovation. While most AI agents are limited to browsers or APIs, a groundbreaking open-source project called Bytebot has redefined what AI can achieve. Bytebot introduces a self-hosted AI desktop agent β€” a virtual computer that performs complex, multi-step tasks ...

#Bytebot #AIDesktopAutomation #SelfHostedAI #OpenSourceAI #AIAgents #TaskAutomation
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✨MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling

πŸ“ Summary:
MiroThinker v1.0 is an open-source research agent introducing 'interactive scaling.' It trains models with reinforcement learning for deeper agent-environment interactions, performing up to 600 tool calls per task. This achieves state-of-the-art performance and establishes interaction depth as a ...

πŸ”Ή Publication Date: Published on Nov 14

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2511.11793
β€’ PDF: https://arxiv.org/pdf/2511.11793
β€’ Project Page: https://dr.miromind.ai/
β€’ Github: https://github.com/MiroMindAI/MiroThinker

πŸ”Ή Models citing this paper:
β€’ https://huggingface.co/miromind-ai/MiroThinker-v1.0-72B
β€’ https://huggingface.co/miromind-ai/MiroThinker-v1.0-8B
β€’ https://huggingface.co/miromind-ai/MiroThinker-v1.0-30B

==================================

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

#MiroThinker #ResearchAgents #ReinforcementLearning #OpenSourceAI #LLM
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✨Mobile-Agent-v3: Foundamental Agents for GUI Automation

πŸ“ Summary:
GUI-Owl and Mobile-Agent-v3 are open-source GUI agent models achieving state-of-the-art performance on GUI benchmarks. GUI-Owl introduces large-scale environment infrastructure, diverse agent capabilities, and scalable reinforcement learning, with Mobile-Agent-v3 further improving these results.

πŸ”Ή Publication Date: Published on Aug 21

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2508.15144
β€’ PDF: https://arxiv.org/pdf/2508.15144
β€’ Project Page: https://github.com/X-PLUG/MobileAgent
β€’ Github: https://github.com/X-PLUG/MobileAgent

πŸ”Ή Models citing this paper:
β€’ https://huggingface.co/mPLUG/GUI-Owl-7B
β€’ https://huggingface.co/mPLUG/GUI-Owl-32B
β€’ https://huggingface.co/mPLUG/GUI-Owl-7B-Desktop-RL

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

#GUIAgent #Automation #ReinforcementLearning #AIResearch #OpenSourceAI
✨Scaling Open-Ended Reasoning to Predict the Future

πŸ“ Summary:
This work trains language models for open-ended future prediction using a new dataset synthesized from news. Their OpenForecaster 8B model matches larger proprietary models in accuracy, calibration, and consistency. All resources are open-sourced.

πŸ”Ή Publication Date: Published on Dec 31, 2025

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2512.25070
β€’ PDF: https://arxiv.org/pdf/2512.25070
β€’ Project Page: https://www.openforecaster.github.io
β€’ Github: https://github.com/OpenForecaster/scaling-forecasting-training

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

#LLMs #FuturePrediction #AI #OpenSourceAI #MachineLearning
✨BitNet b1.58 2B4T Technical Report

πŸ“ Summary:
BitNet b1.58 2B4T is the first open-source 1-bit Large Language Model with 2 billion parameters. It matches full-precision LLM performance while offering significant improvements in computational efficiency like reduced memory and energy. The model weights are openly released for research.

πŸ”Ή Publication Date: Published on Apr 16, 2025

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2504.12285
β€’ PDF: https://arxiv.org/pdf/2504.12285
β€’ Github: https://github.com/microsoft/bitnet

πŸ”Ή Models citing this paper:
β€’ https://huggingface.co/microsoft/bitnet-b1.58-2B-4T
β€’ https://huggingface.co/microsoft/bitnet-b1.58-2B-4T-gguf
β€’ https://huggingface.co/microsoft/bitnet-b1.58-2B-4T-bf16

✨ Spaces citing this paper:
β€’ https://huggingface.co/spaces/suayptalha/Chat-with-Bitnet-b1.58-2B-4T
β€’ https://huggingface.co/spaces/aizip-dev/SLM-RAG-Arena
β€’ https://huggingface.co/spaces/Tonic/Native_1-bit_LLM

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

#LLM #AI #Quantization #OpenSourceAI #DeepLearning