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Demonstrating TOFFEE: A Learned System for Synthesizing Data Agent Trajectories at Scale
The paper introduces TOFFEE, a system designed to generate high-quality data agent trajectories using Monte Carlo Tree Search (MCTS) with adaptive model selection and cross-task prefix reuse. This is aimed at…
