✨JoyAgent-JDGenie: Technical Report on the GAIA
📝 Summary:
This paper introduces JoyAgent-JDGenie, a generalist AI agent architecture. It integrates multi-agent planning, hierarchical memory, and advanced tools to achieve superior performance across diverse tasks, outperforming baselines and approaching proprietary systems.
🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00510
• PDF: https://arxiv.org/pdf/2510.00510
• Github: https://github.com/jd-opensource/joyagent-jdgenie
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#AIAgent #GeneralistAI #MultiAgentSystems #AIResearch #MachineLearning
📝 Summary:
This paper introduces JoyAgent-JDGenie, a generalist AI agent architecture. It integrates multi-agent planning, hierarchical memory, and advanced tools to achieve superior performance across diverse tasks, outperforming baselines and approaching proprietary systems.
🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00510
• PDF: https://arxiv.org/pdf/2510.00510
• Github: https://github.com/jd-opensource/joyagent-jdgenie
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#AIAgent #GeneralistAI #MultiAgentSystems #AIResearch #MachineLearning
✨Step-DeepResearch Technical Report
📝 Summary:
Step-DeepResearch is an end-to-end agent for deep research, using a data synthesis strategy and progressive training. It achieves expert-level capabilities, outperforming existing models and rivaling SOTA closed-source models with cost-efficiency. It also introduces ADR-Bench for realistic Chines...
🔹 Publication Date: Published on Dec 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.20491
• PDF: https://arxiv.org/pdf/2512.20491
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#AI #MachineLearning #DeepResearch #AIagent #SOTA
📝 Summary:
Step-DeepResearch is an end-to-end agent for deep research, using a data synthesis strategy and progressive training. It achieves expert-level capabilities, outperforming existing models and rivaling SOTA closed-source models with cost-efficiency. It also introduces ADR-Bench for realistic Chines...
🔹 Publication Date: Published on Dec 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.20491
• PDF: https://arxiv.org/pdf/2512.20491
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#AI #MachineLearning #DeepResearch #AIagent #SOTA