Papers with multimodal supervision

1 papers
CharTide: Data-Centric Chart-to-Code Generation via Tri-Perspective Tuning and Inquiry-Driven Evolution (2026.acl-long)

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Challenge: Existing approaches to chart-to-code generation are constrained by data-centric limitations . authors present a new framework that redesigns both training and alignment data .
Approach: They propose a data-centric framework that redesigns both training and alignment data for chart-to-code generation.
Outcome: The proposed framework outperforms open-source baselines and is competitive with GPT-5.

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