Papers by Youngsik Yoon

1 papers
PaT: Planning-after-Trial for Efficient Test-Time Code Generation (2026.acl-long)

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Challenge: Existing methods for scaling test-time computation are rigid and inefficient . a heterogeneous configuration achieves performance comparable to a large homogeneously model .
Approach: They propose an adaptive planning policy that invokes a planner only upon verification failure.
Outcome: The proposed model achieves comparable performance to a large homogeneous model while reducing inference cost by approximately 69% across multiple benchmarks and model families.

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