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nlp:autonomous_language_agents [2026/07/22 05:12] – [Overviews] jmflanignlp:autonomous_language_agents [2026/08/09 21:21] (current) – jmflanig
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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 =====
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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.1784697141.txt.gz · Last modified: 2026/07/22 05:12 by jmflanig
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