mlsanityData to 14 Oct 2026

Preacher: Paper-to-Video Agentic System

arXiv 2508.09632 ↗First posted 13 Aug 2025cs.CV cs.AIcited by 6

On the map: LLM agents and tool use → Multimodal and embodied agents

Abstract (arXiv)

The paper-to-video task converts a research paper into a structured video abstract, distilling key concepts, methods, and conclusions into an accessible, well-organized format. While state-of-the-art video generation models demonstrate potential, they are constrained by limited context windows, rigid video duration constraints, limited stylistic diversity, and an inability to represent domain-specific knowledge. To address these limitations, we introduce Preacher, the first paper-to-video agentic system. Preacher employs a topdown approach to decompose, summarize, and reformulate the paper, followed by bottom-up video generation, synthesizing diverse video segments into a coherent abstract. To align cross-modal representations, we define key scenes and introduce a Progressive Chain of Thought (P-CoT) for granular, iterative planning. Preacher successfully generates high-quality video abstracts across five research fields, demonstrating expertise beyond current video generation models. Code will be released at: https://github.com/Gen-Verse/Paper2Video

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Placed in Multimodal and embodied agents, one of 16 directions in LLM agents and tool use. Builds on 48 of its 67 references that are in the map. First posted on arXiv 13 Aug 2025.

Builds on

48 of 67 references.

Closest ancestors · 3

Same direction, newest first

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  3. 2022LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models8 Dec

Other references · 45

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  12. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 1,808
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  5. 2023Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generatorscited by 670
  6. 2024VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Modelscited by 579
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  10. 2024CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Modelscited by 288
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  12. 2023Self-collaboration Code Generation via ChatGPTcited by 258
  13. 2024StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Textcited by 251
  14. 2025MMaDA: Multimodal Large Diffusion Language Modelscited by 250
  15. 2024Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMscited by 224
  16. 2023LooGLE: Can Long-Context Language Models Understand Long Contexts?cited by 202
  17. 2024A Human-Inspired Reading Agent with Gist Memory of Very Long Contextscited by 146
  18. 2023Make Pixels Dance: High-Dynamic Video Generationcited by 140
  19. 2024AutoSurvey: Large Language Models Can Automatically Write Surveyscited by 119
  20. 2023A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directionscited by 105
  21. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 102
  22. 2024Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animationcited by 97
  23. 2024AgentReview: Exploring Peer Review Dynamics with LLM Agentscited by 93
  24. 2025PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slidescited by 86
  25. 2023ARTboldsymbol·V: Auto-Regressive Text-to-Video Generation with Diffusion Modelscited by 76
  26. 2023Collaborating with language models for embodied reasoningcited by 61
  27. 2024Rectified Diffusion: Straightness Is Not Your Need in Rectified Flowcited by 61
  28. 2024VideoTetris: Towards Compositional Text-to-Video Generationcited by 51
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  30. 2024Improving Diffusion-Based Image Synthesis with Context Predictioncited by 32
  31. 2024ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generationcited by 11
  32. 2024SPAgent: Adaptive Task Decomposition and Model Selection for General Video Generation and Editingcited by 11
  33. 2024Prompt Augmentation for Self-supervised Text-guided Image Manipulationcited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 4.

6 papers.

Similar, not cited

Close in wording, no citation either way

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  2. 2025Stealing Creator's Workflow: A Creator-Inspired Agentic Framework with Iterative Feedback Loop for Improved Scientific Short-form Generation
  3. 2024GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration
  4. 2026The Script is All You Need: An Agentic Framework for Long-Horizon Dialogue-to-Cinematic Video Generation
  5. 2025Automated Movie Generation via Multi-Agent CoT Planning
  6. 2025Captain Cinema: Towards Short Movie Generation
  7. 2025Communicative Agents for Slideshow Storytelling Video Generation based on LLMs
  8. 2024AesopAgent: Agent-driven Evolutionary System on Story-to-Video Production