ToolGrad inverts the standard tool-use dataset synthesis process by constructing valid tool chains first with textual gradients, producing a high-quality 500-example dataset with near-perfect validity and superior model performance.
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ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients"
ToolGrad inverts the standard tool-use dataset synthesis process by constructing valid tool chains first with textual gradients, producing a high-quality 500-example dataset with near-perfect validity and superior model performance.