✨Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents

📝 Summary:
Agent S2 is a compositional framework for computer use agents that delegates tasks across generalist and specialist models. Using Mixture-of-Grounding and Proactive Hierarchical Planning, it achieves state-of-the-art performance on diverse benchmarks and operating systems.

🔹 Publication Date: Published on Apr 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2504.00906
• PDF: https://arxiv.org/pdf/2504.00906
• Project Page: https://www.simular.ai/articles/agent-s2-technical-review
• Github: https://github.com/simular-ai/Agent-S

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

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

#AIAgents #MachineLearning #AI #GeneralistSpecialist #AutonomousSystems

✨Why LLMs Aren't Scientists Yet: Lessons from Four Autonomous Research Attempts

📝 Summary:
A case study of four LLM agent attempts to autonomously generate ML research papers reveals six recurring failure modes. Most attempts failed, though one was accepted to a special AI-first author venue, leading to proposed design principles for future AI-scientist systems.

🔹 Publication Date: Published on Jan 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03315
• PDF: https://arxiv.org/pdf/2601.03315

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

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

#LLMs #AIResearch #MachineLearning #AIAgents #AutonomousSystems