Author

Honglin Lin

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#artificial intelligence Apr 2026

Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning

A novel Dual Self-Consistency Reinforcement Learning optimization paradigm is introduced, which utilizes Round-Trip Verification to penalize degenerate code and boost overall self-consistency in TikZ code.

Juekai Lin, Yun Zhu, Honglin Lin et al. · arXiv.org · 5 citations