Training and Agentic Inference Strategies for LLM-based Manim Animation Generation

arXiv:2604.18364 · cs.AI, cs.GR, cs.MA · Submitted 2026-04-20 · Read on arXiv

cs.AI, cs.GR, cs.MA

Submitted: 2026-04-20

Updated: 2026-08-31

Code: https://github.com/SuienS/manim-trainer

Terminology

• GRPO — 114× in this paper · explained in 6 episodes
• Visual Similarity — 46× in this paper
• Fine-Tuning — 15× in this paper · explained in 5 episodes
• Reinforcement Learning — 10× in this paper · explained in 4 episodes
• Render Success Rate — 8× in this paper
• Reward Function — 5× in this paper · explained in 2 episodes
• Supervised Fine-tuning — 5× in this paper
• Accuracy — 4× in this paper · explained in 1 episode
• Group Relative Policy Optimisation — 4× in this paper
• RAG — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Reinforcement Learning (RL) — 3× in this paper · explained in 25 episodes
• Supervised Fine-Tuning (SFT) — 3× in this paper · explained in 8 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• LoRA Adapters — 2× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation — 2× in this paper
• Retrieval-Augmented Generation (RAG) — 2× in this paper · explained in 16 episodes
• Semantic Similarity — 2× in this paper · explained in 2 episodes
• Abstract Syntax Tree — 1× in this paper
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Contrastive Language-Image Pretraining — 1× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• External Validation — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• In-Context Learning (ICL) — 1× in this paper · explained in 5 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• Parameter-Efficient Fine-Tuning (PEFT) — 1× in this paper · explained in 4 episodes
• Reward Hacking — 1× in this paper · explained in 8 episodes

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