An LLM-as-Judge pipeline that scores synthetic GUI interaction trajectories and fine-tunes a 2B model with DPO yields a local computer-use agent that beats its base model on 15-step OSWorld tasks.
Detecting and preventing hallucinations in large vision language models
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DPO Learning with LLMs-Judge Signal for Computer Use Agents
An LLM-as-Judge pipeline that scores synthetic GUI interaction trajectories and fine-tunes a 2B model with DPO yields a local computer-use agent that beats its base model on 15-step OSWorld tasks.