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Understanding Scattered Forest Search: A Version-Space Perspective on Multi-Turn Program Correction

Tanaka, Yuto et al.
arXiv (All) · Papers
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machine-learning
In multi-turn program correction, the state-of-the-art method Scattered Forest Search (SFS) has been proposed, employing Monte Carlo Tree Search (MCTS) with carefully crafted initial seeds and text-based optimization. However, since SFS integrates multiple components, the effects of each component o
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