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+## Model/Data associated with research project *Autonomous Evaluation and Refinement of Digital Agents*.
 
 ### [Paper - Stay tuned for the Monday release!]() | [Project Page](https://berkeley-nlp.github.io/agent-eval-refine) | [Code](https://github.com/Berkeley-NLP/Agent-Eval-Refine)
 
-Model/Data associated with research project *Autonomous Evaluation and Refinement of Digital Agents*.
 
 TLDR: We explore the design and use of model-based evaluators to both evaluate and autonomously refine the performance of digital agents. Experiments show that domain-general automated evaluators can significantly improve the performance of digital agents, without any extra supervision.
 
 
 [Jiayi Pan](https://www.jiayipan.me/), [Yichi Zhang](https://sled.eecs.umich.edu/author/yichi-zhang/), [Nicholas Tomlin](https://people.eecs.berkeley.edu/~nicholas_tomlin/), [Yifei Zhou](https://yifeizhou02.github.io/), [Sergey Levine](https://people.eecs.berkeley.edu/~svlevine/), [Alane Suhr](https://www.alanesuhr.com/)
 
-UC Berkeley, University of Michigan
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+UC Berkeley, University of Michigan