🧩Top Twelve AI Agent Research Papers of 2024🐞

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Update to the Autogen framework, discussing a generalist multi-agent system for solving open-ended web and file-based tasks across a variety of domains.
🤖 Agent-Oriented Planning in a Multi-Agent System: (https://lnkd.in/gxJJjT3G)
Introduces a framework utilizing Meta-agent architecture for clever planning in multi-agent systems.
📚 KGLA by Amazon:
Amazon's Knowledge Graph-Enhanced Agent framework for better knowledge retrieval across various domains.
💬 Harvard University's FINCON:
Researchers propose an LLM-based multi-agent framework with conversational verbal reinforcement for diverse financial tasks.
🖥️ OmniParser for Pure Vision-Based GUI Agent: (https://lnkd.in/gFHJuSxb)
A multi-agent approach for UI navigation for GUI-based AI agents.
🧩 Can Graph Learning Improve Planning in LLM-Based Agents? By Microsoft:
Experiment showing how graph learning improves planning in AI agents using GPT-4 as their core LLM.
👥 Generative Agent Simulations of 1,000 People by Stanford and Google DeepMind: (https://lnkd.in/gM3s8_9m)
Experiment demonstrating AI agents cloning 1,000 people using just 2 hours of audio.
🐞 An Empirical Study on LLM-Based Agents for Automated Bug Fixing:
ByteDance explores which LLMs are best suited for automated bug fixing.
💬 Google DeepMind's Sparse Communication for Multi-Agent Debate: (https://lnkd.in/gsax7ujE)
Experiment improving agent communication with limited information sharing.
📊 LLM-Based Multi-Agents: A Survey: (https://lnkd.in/gcXneu6T)
Comprehensive review of the progress and challenges in LLM-based multi-agent systems.
⚙️ Practices for Governing Agentic AI Systems by OpenAI:
OpenAI outlines seven tips for creating safe and accountable AI agents for businesses.
🖥️ The Dawn of GUI Agent: A Case Study for Sonnet 3.5: (https://lnkd.in/gHeXNrPT)
Paper examining Anthropic's usability for GUI-based AI across various domains.
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