AI RESEARCH
Reliable Reasoning in SVG-LLMs via Multi-Task Multi-Reward Reinforcement Learning
arXiv CS.CV
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ArXi:2603.16189v1 Announce Type: new With the rapid advancement of vision-language models, an increasing number of studies have explored their potential for SVG generation tasks. Although existing approaches improve performance by constructing large-scale SVG datasets and