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You are here: AgentWiki » AgentTuning: Enabling Generalized Agent Capabilities in LLMs
Trace: • ExpeL: Experiential Learning for LLM Agents • Arize Phoenix • AgentVerse: Facilitating Multi-Agent Collaboration • Image Editing Agents • CRITIC: LLMs Can Self-Correct with Tool-Interactive Critiquing
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agenttuning [2026/03/30 21:04] – Add missing footnotes agentagenttuning [2026/03/30 22:40] (current) – Restructure: footnotes as references agent
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 ) )
 trainer.train() trainer.train()
-</code> +</code> (([[https://arxiv.org/abs/2310.12823|Zeng et al. (2023) - AgentTuning: Enabling Generalized Agent Capabilities in LLMs]])) (([[https://aclanthology.org/2024.findings-acl.181.pdf|ACL 2024 Findings Paper]]))
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-===== References ===== +
- +
-  * [[https://arxiv.org/abs/2310.12823|Zeng et al. (2023) - AgentTuning: Enabling Generalized Agent Capabilities in LLMs]] +
-  * [[https://thudm.github.io/AgentTuning/|AgentTuning Project Page (Tsinghua)]] +
-  * [[https://github.com/thudm/agenttuning|AgentTuning GitHub Repository]] +
-  * [[https://aclanthology.org/2024.findings-acl.181.pdf|ACL 2024 Findings Paper]]+
  
 ===== See Also ===== ===== See Also =====
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   * [[retroformer|Retroformer: Policy Gradient Agent Optimization]]   * [[retroformer|Retroformer: Policy Gradient Agent Optimization]]
   * [[agent_benchmarks|Agent Benchmarks and Evaluation]]   * [[agent_benchmarks|Agent Benchmarks and Evaluation]]
 +
 +===== References =====
  
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