3 papers
cs.CV2026
ChartJudgeBench: Evaluating LMM Judges for Chart-to-Code Generation
Lijian Wu, Henry Hengyuan Zhao, Zijian Zhang +3
Building strong chart-to-code systems increasingly relies on reinforcement learning, whose effectiveness depends critically on the quality of the reward signal. Large Multimodal Mo…
cs.SE2025
From Charts to Code: A Hierarchical Benchmark for Multimodal Models
Jiahao Tang, Henry Hengyuan Zhao, Lijian Wu +8
We introduce Chart2Code, a new benchmark for evaluating the chart understanding and code generation capabilities of large multimodal models (LMMs). Chart2Code is explicitly designe…
cs.CE2025
RDPP-TD: Reputation and Data Privacy-Preserving based Truth Discovery Scheme in Mobile Crowdsensing
Lijian Wu, Weikun Xie, Wei Tan +3
Truth discovery (TD) plays an important role in Mobile Crowdsensing (MCS). However, existing TD methods, including privacy-preserving TD approaches, estimate the truth by weighting…