✨DeepAnalyze: Agentic Large Language Models for Autonomous Data Science

📝 Summary:
DeepAnalyze-8B is an agentic LLM that autonomously completes the entire data science pipeline, from raw data to research reports. It employs curriculum-based training and data-grounded trajectory synthesis, outperforming larger, workflow-based agents. This open-source model advances autonomous da...

🔹 Publication Date: Published on Oct 19

🔹 Paper Links:
• arXiv Page: https://arxivexplained.com/papers/deepanalyze-agentic-large-language-models-for-autonomous-data-science
• PDF: https://arxiv.org/pdf/2510.16872
• Project Page: https://ruc-deepanalyze.github.io/
• Github: https://github.com/ruc-datalab/DeepAnalyze

🔹 Models citing this paper:
• https://huggingface.co/RUC-DataLab/DeepAnalyze-8B

✨ Datasets citing this paper:
• https://huggingface.co/datasets/RUC-DataLab/DataScience-Instruct-500K
• https://huggingface.co/datasets/fantos/DataScience-Instruct-500K

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For more data science resources:
✓ https://t.iss.one/DataScienceT

#LLM #DataScience #AgenticAI #AutonomousAI #AI

✨The Station: An Open-World Environment for AI-Driven Discovery

📝 Summary:
The Station is an open-world multi-agent AI environment enabling autonomous scientific discovery. Agents engage in full scientific journeys, achieving state-of-the-art results across diverse benchmarks. This new paradigm fosters emergent behaviors and novel method development, moving beyond rigid...

🔹 Publication Date: Published on Nov 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.06309
• PDF: https://arxiv.org/pdf/2511.06309
• Github: https://github.com/dualverse-ai/station

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For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #MultiAgentSystems #ScientificDiscovery #OpenWorldAI #AutonomousAI