RULER: Instance-aware Rubric Rewards for SVG Generation

arXiv:2609.25270 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-21

Terminology

• Benchmark — 22× in this paper · explained in 2 episodes
• Fidelity — 11× in this paper · explained in 2 episodes
• GRPO — 10× in this paper · explained in 6 episodes
• Reinforcement Learning — 9× in this paper · explained in 4 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Alignment — 7× in this paper · explained in 1 episode
• Robustness — 7× in this paper · explained in 5 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Core — 4× in this paper · explained in 2 episodes
• Reward Hacking — 4× in this paper · explained in 8 episodes
• Generating Scalable Vector Graphics — 3× in this paper
• Group Relative Policy Optimization — 3× in this paper
• Human Preference Score — 3× in this paper
• Aggregation — 2× in this paper · explained in 1 episode
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Markov Decision Process — 2× in this paper
• Pairwise Comparisons — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 5 episodes
• KL Regularization — 1× in this paper · explained in 2 episodes
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Thinking mode — 1× in this paper · explained in 2 episodes
• Transactions on Graphics — 1× in this paper
• Transformer — 1× in this paper · explained in 2 episodes
• Vision-language models — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• Qwen3-VL Technical Report
• Reward and Guidance through Rubrics: Promoting Exploration to Improve Multi-Domain Reasoning
• Symbolic Graphics Programming with Large Language Models
• Code2Video: A Code-centric Paradigm for Educational Video Generation
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• VFIG: Vectorizing Complex Figures in SVG with Vision-Language Models
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual Representation
• DeepSeek-V3 Technical Report
• The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
• VectorGym: A Multi-Task Benchmark for SVG Code Generation, Sketching and Editing
• JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence
• Kimi K2.5: Visual Agentic Intelligence
• Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
• Reason-SVG: Enhancing Structured Reasoning for Vector Graphics Generation with Reinforcement Learning
• Rendering-Aware Reinforcement Learning for Vector Graphics Generation
• Proximal Policy Optimization Algorithms

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