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Jinhe Bi

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Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence

This survey reviews Multimodal Code Intelligence, covering systems that generate, edit, refine, or reason with code under visually grounded inputs and outputs and organizes benchmarks and methods into four domains: Graphical User Interface, Scientific Visualization, Structured Graphics, and Frontier Tasks and Frameworks.

Xuanle Zhao, Qiushi Sun, Jingyu Xiao et al. · 5 citations
Preprint Aug 2026

OPD-V: Visual On-Policy Self-Distillation with Modality Balance

OPD-V is introduced, a visual OPSD paradigm that instantiates privileged information through the Positive Teacher and Negative Teacher that consistently improves reasoning performance while reducing training cost.

Aniri, Jinhe Bi, Peng Liao et al. · 2 citations

PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection

Empirically, PRISM reduces the end-to-end time for data selection and model tuning to just 30% of conventional pipelines, and achieves this efficiency while simultaneously enhancing performance, surpassing models fine-tuned on the full dataset across eight multimodal and three language understanding benchmarks.

Jinhe Bi, Yifan Wang, Danqi Yan et al. · 73 citations · ⚡4
Preprint Jul 2026

MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolution

MetaSkill-Evolve is introduced, a two-timescale framework that makes agentic skill improvement recursive and outperforms no-skill, static-skill, and single-level evolution baselines on three agentic benchmarks, improving held-out test accuracy over the raw backbone by +23.54, +16.09, and +1.92 points respectively.

Zefeng Wang, Minxi Yan, Jinhe Bi et al. · 4 citations

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