作者位次 #4/15ACL 2026Poster· Natural Language Processing
R eal C hart2 C ode: Bridging the Gap in Real-World Chart-to-Code Generation via Multi-Task Evaluation
Jiajun Zhang · Yuying Li · Zhixun Li · Xingyu Guo · Jingzhuo Wu · Leqi Zheng · Yiran Yang · Jianke Zhang · Qingbin Li · Shannan Yan · Changguo Jia · Junfei Wu · Zilei Wang · Qiang Liu · Liang Wang
摘要
Vision-Language Models (VLMs) have demonstrated impressive capabilities in code generation across various domains. However, their ability to replicate complex, multi-panel visualizations from real-world data remains largely unassessed. To address this gap, we introduce RealChart2Code , a new larg...