mlsanityData to 14 Oct 2026

Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach

arXiv 2406.06556 ↗First posted 1 Jun 2024cs.CL cs.AIcited by 17

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Abstract (arXiv)

Generating presentation slides from a long document with multimodal elements such as text and images is an important task. This is time consuming and needs domain expertise if done manually. Existing approaches for generating a rich presentation from a document are often semi-automatic or only put a flat summary into the slides ignoring the importance of a good narrative. In this paper, we address this research gap by proposing a multi-staged end-to-end model which uses a combination of LLM and VLM. We have experimentally shown that compared to applying LLMs directly with state-of-the-art prompting, our proposed multi-staged solution is better in terms of automated metrics and human evaluation.

Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). Builds on 13 of its 29 references that are in the map. First posted on arXiv 1 Jun 2024.

Builds on

13 of 29 references.

References · 13

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2022Training language models to follow instructions with human feedbackcited by 15,971
  3. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  4. 2023Lost in the Middle: How Language Models Use Long Contextscited by 3,455
  5. 2023G-Eval: NLG Evaluation using GPT-4 with Better Human Alignmentcited by 2,276
  6. 2023Learning to Compress Prompts with Gist Tokenscited by 390
  7. 2021DOC2PPT: Automatic Presentation Slides Generation from Scientific Documentscited by 70
  8. 2021D2S: Document-to-Slide Generation Via Query-Based Text Summarizationcited by 50
  9. 2020On Learning Text Style Transfer with Direct Rewardscited by 24
  10. 2019Automatically Generating Engaging Presentation Slide Deckscited by 9
  11. 2020Deep Submodular Networks for Extractive Data Summarizationcited by 8
  12. 2021Towards a Formal Model of Narrativescited by 6
1 more
  1. 2024PostDoc: Generating Poster from a Long Multimodal Document Using Deep Submodular Optimizationcited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 11; 2026: 6.

17 papers.

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  1. 2025PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slidescited by 86
  2. 2025Paper2Poster: Towards Multimodal Poster Automation from Scientific Paperscited by 63
  3. 2025Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluationcited by 42
  4. 2025PreGenie: An Agentic Framework for High-quality Visual Presentation Generationcited by 16
  5. 2025SlideTailor: Personalized Presentation Slide Generation for Scientific Paperscited by 13
  6. 2026SlidesGen-Bench: Evaluating Slides Generation via Computational and Quantitative Metricscited by 10
  7. 2025PASS: Presentation Automation for Slide Generation and Speechcited by 7
  8. 2026Any2Poster: Any-Source Poster Generation Across Modalities and Domainscited by 5
  9. 2025Textual-to-Visual Iterative Self-Verification for Slide Generationcited by 4
  10. 2025SciPostGen: Bridging the Gap between Scientific Papers and Poster Layoutscited by 4
  11. 2025Taming LLMs with Negative Samples: A Reference-Free Framework to Evaluate Presentation Content with Actionable Feedbackcited by 2
  12. 2025Multi-Agent Synergy-Driven Iterative Visual Narrative Synthesiscited by 1
5 more
  1. 2025TeachMaster: Generative Teaching via Codecited by 1
  2. 2026Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructionscited by 1
  3. 2026UniPPTBench: A Unified Benchmark for Presentation Generation Across Diverse Input Settingscited by 1
  4. 2026Findings of the First Teaching Monster Challenge: A Benchmark of Pedagogical Content Knowledge in AI Agentscited by 1
  5. 2026ReDeck: Step-Level Render-Grounded Refinement for Document-to-Slide Generationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations
  2. 2026Design First, Code Later: Aesthetically Pleasing Template-Free Slides Generation
  3. 2025Summarization of Multimodal Presentations with Vision-Language Models: Study of the Effect of Modalities and Structure
  4. 2025Auto-Slides: An Interactive Multi-Agent System for Creating and Customizing Research Presentations
  5. 2025Talk to Your Slides: High-Efficiency Slide Editing via Language-Driven Structured Data Manipulation
  6. 2024LLMs Meet Multimodal Generation and Editing: A Survey
  7. 2025PPTBench: Towards Holistic Evaluation of Large Language Models for PowerPoint Layout and Design Understanding
  8. 2023Generating Illustrated Instructions