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nlp:autonomous_language_agents [2026/03/05 00:02] – [Papers] jmflanignlp:autonomous_language_agents [2026/08/09 21:21] (current) – jmflanig
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   * [[https://arxiv.org/pdf/2402.01680|Wang et al 2024 - Large Language Model based Multi-Agents: A Survey of Progress and Challenges]]   * [[https://arxiv.org/pdf/2402.01680|Wang et al 2024 - Large Language Model based Multi-Agents: A Survey of Progress and Challenges]]
   * [[https://arxiv.org/pdf/2404.11584|Masterman et al 2024 - The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey]]   * [[https://arxiv.org/pdf/2404.11584|Masterman et al 2024 - The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey]]
 +  * [[https://arxiv.org/pdf/2505.10468|Sapkota et al 2025 - AI Agents vs. Agentic AI: A Conceptual taxonomy, applications and challenges]] [[https://arxiv.org/pdf/2505.10468v4|v4]] (better formatting)
   * **Architectures**   * **Architectures**
     * [[https://arxiv.org/pdf/2309.02427|Sumers et al 2024 - Cognitive Architectures for Language Agents]]     * [[https://arxiv.org/pdf/2309.02427|Sumers et al 2024 - Cognitive Architectures for Language Agents]]
   * **Memory Architectures**   * **Memory Architectures**
     * [[https://arxiv.org/pdf/2501.13956|Rasmussen et al 2025 - Zep: A Temporal Knowledge Graph Architecture for Agent Memory]]     * [[https://arxiv.org/pdf/2501.13956|Rasmussen et al 2025 - Zep: A Temporal Knowledge Graph Architecture for Agent Memory]]
 +  * **Alignment**
 +    * [[https://arxiv.org/pdf/2506.09656|Zheng et al 2025 - Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives]]
   * **Multi-Agents**   * **Multi-Agents**
     * [[https://arxiv.org/pdf/2501.06322|Tran et al 2025 - Multi-Agent Collaboration Mechanisms: A Survey of LLMs]]     * [[https://arxiv.org/pdf/2501.06322|Tran et al 2025 - Multi-Agent Collaboration Mechanisms: A Survey of LLMs]]
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     * Personal Agents     * Personal Agents
       * [[https://arxiv.org/pdf/2401.05459|Li et al 2024 - Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security]]       * [[https://arxiv.org/pdf/2401.05459|Li et al 2024 - Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security]]
 +
  
 ===== Papers ===== ===== Papers =====
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   * [[https://arxiv.org/pdf/2505.21963|Yano et al 2025 - LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents]]   * [[https://arxiv.org/pdf/2505.21963|Yano et al 2025 - LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents]]
   * [[https://arxiv.org/pdf/2505.22571|Pham et al 2025 - Agent-UniRAG: A Trainable Open-Source LLM Agent Framework for Unified Retrieval-Augmented Generation Systems]]   * [[https://arxiv.org/pdf/2505.22571|Pham et al 2025 - Agent-UniRAG: A Trainable Open-Source LLM Agent Framework for Unified Retrieval-Augmented Generation Systems]]
 +  * [[https://arxiv.org/pdf/2601.09393|Wang et al 2026 - AI-NativeBench: An Open-Source White-Box Agentic Benchmark Suite for AI-Native Systems]]
   * **Tool Use and Agent Skills**   * **Tool Use and Agent Skills**
     * "Agent Skills are instructions, scripts, and resources that agents can discover and use to do things more accurately and efficiently" (from [[https://agentskills.io/home|here]])     * "Agent Skills are instructions, scripts, and resources that agents can discover and use to do things more accurately and efficiently" (from [[https://agentskills.io/home|here]])
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     * [[https://arxiv.org/pdf/2402.07456|Wu et al 2024 - OS-Copilot: Towards Generalist Computer Agents with Self-Improvement]]     * [[https://arxiv.org/pdf/2402.07456|Wu et al 2024 - OS-Copilot: Towards Generalist Computer Agents with Self-Improvement]]
     * [[https://arxiv.org/pdf/2404.07972|Xie et al 2024 - OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments ]]     * [[https://arxiv.org/pdf/2404.07972|Xie et al 2024 - OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments ]]
 +  * **AI, ML, CS**
 +    * [[https://arxiv.org/pdf/2311.09835|Tang et al 2023 - ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code]]
 +    * [[https://arxiv.org/pdf/2410.07095|Chan et al 2024 - MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering]] (this is the highly cited one, see for example the [[https://deploymentsafety.openai.com/gpt-5-6-preview/gpt-5-6-preview.pdf|GPT-5.6 Preview System Card]])
 +    * [[https://arxiv.org/pdf/2409.11363|Siegel et al 2024 - CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark]]
 +
 +===== AI Agents and Agentic AI in Practice =====
 +  * **Business**
 +    * [[https://www.opentext.com/en/media/ebook/the-agentic-ai-genome-ebook-en.pdf|Bell et al 2026 - The Agentic AI Genome]]
  
 ===== Multi-Agents ===== ===== Multi-Agents =====
   * **Overviews**   * **Overviews**
     * [[https://arxiv.org/pdf/2501.06322|Tran et al 2025 - Multi-Agent Collaboration Mechanisms: A Survey of LLMs]]     * [[https://arxiv.org/pdf/2501.06322|Tran et al 2025 - Multi-Agent Collaboration Mechanisms: A Survey of LLMs]]
 +
 +===== Agentic AI =====
 +  * **Overviews**
 +    * [[https://arxiv.org/pdf/2505.10468|Sapkota et al 2025 - AI Agents vs. Agentic AI: A Conceptual taxonomy, applications and challenges]] [[https://arxiv.org/pdf/2505.10468v4|v4]] (better formatting)
 +  * **Papers**
 +    * [[https://arxiv.org/pdf/2606.12835|Zhu 2026 - The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at Scale]]
  
 ===== People ===== ===== People =====
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 ===== Related Pages ===== ===== Related Pages =====
 +  * [[AI Singularity]]
   * [[ml:Computer Use Agents]]   * [[ml:Computer Use Agents]]
   * [[Dialog]]   * [[Dialog]]
   * [[Language Model]]   * [[Language Model]]
   * [[Prompting]]   * [[Prompting]]
nlp/autonomous_language_agents.1772668947.txt.gz · Last modified: 2026/03/05 00:02 by jmflanig
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