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VisInteract-Bench

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Machine Heart
Machine Heart
Oct 7, 2026 · Artificial Intelligence

VisInteract: Recovering User Intent in Text-to-Vis via Interactive MCTS Search

VisInteract introduces a dynamic interactive Text-to-Vis paradigm with the VisInteract-Bench benchmark and Vis-MCTS method, using Monte Carlo Tree Search with progressive widening, cross-path memory, and dimension-aware reward decomposition to recover user intent from imperfect queries, achieving 51–57% Merge Task Score on 1,098 samples across 11 databases.

Imperfect QueriesInteractive VisualizationMonte Carlo Tree Search
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VisInteract: Recovering User Intent in Text-to-Vis via Interactive MCTS Search