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Chengkun Cao

2 accepted papers

2025

S*: Test Time Scaling for Code Generation

EMNLP 2025

Increasing test-time compute for LLMs shows promise across domains but remains underexplored in code generation, despite extensive study in math. In this paper, we propose S*, the first hybrid test-time scaling framework that substantially improves the coverage and selection accuracy of generated co

2023

Accurate 3D Face Reconstruction with Facial Component Tokens

ICCV 2023poster

Accurately reconstructing 3D faces from monocular images and videos is crucial for various applications, such as digital avatar creation. However, the current deep learning-based methods face significant challenges in achieving accurate reconstruction with disentangled facial parameters and ensuring…

Cited by 23PDFScholar