arXiv Machine Learning July 7, 2026 By Tianhao Niu, Qingfu Zhu, Wanxiang Che

What You See Is What You Get: Observation-Aligned Supervision for Chart-to-Code Generation

Read the original on arXiv Machine Learning →

arXiv:2607. 04726v1 Announce Type: cross Abstract: Chart-to-code generation is commonly trained with supervised fine-tuning on reference plotting scripts, implicitly treating the gold code as a fully observable target.

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