mlsanityData to 7 Oct 2026

APEX: Academic Poster Editing Agentic Expert

arXiv 2601.04794 ↗First posted 8 Jan 2026cs.AIcited by 5

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

Abstract (arXiv)

Designing academic posters is a labor-intensive process requiring the precise balance of high-density content and sophisticated layout. While existing paper-to-poster generation methods automate initial drafting, they are typically single-pass and non-interactive, often fail to align with complex, subjective user intent. To bridge this gap, we propose APEX (Academic Poster Editing agentic eXpert), the first agentic framework for interactive academic poster editing, supporting fine-grained control with robust multi-level API-based editing and a review-and-adjustment Mechanism. In addition, we introduce APEX-Bench, the first systematic benchmark comprising 514 academic poster editing instructions, categorized by a multi-dimensional taxonomy including operation type, difficulty, and abstraction level, constructed via reference-guided and reference-free strategies to ensure realism and diversity. We further establish a multi-dimensional VLM-as-a-judge evaluation protocol to assess instruction fulfillment, modification scope, and visual consistency & harmony. Experimental results demonstrate that APEX significantly outperforms baseline methods. Our implementation is available at https://github.com/Breesiu/APEX.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Placed in Multimodal and embodied agents, one of 16 directions in LLM agents and tool use. Builds on 12 of its 18 references that are in the map. First posted on arXiv 8 Jan 2026.

Builds on

12 of 18 references.

References · 12

  1. 2024MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmarkcited by 362
  2. 2025Paper2Poster: Towards Multimodal Poster Automation from Scientific Paperscited by 56
  3. 2025PosterMaker: Towards High-Quality Product Poster Generation with Accurate Text Renderingcited by 41
  4. 2023PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completioncited by 30
  5. 2024LayoutFlow: Flow Matching for Layout Generationcited by 21
  6. 2025Auto-Slides: An Interactive Multi-Agent System for Creating and Customizing Research Presentationscited by 18
  7. 2025PPTBench: Towards Holistic Evaluation of Large Language Models for PowerPoint Layout and Design Understandingcited by 11
  8. 2024PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completioncited by 9
  9. 2025PPTArena: A Benchmark for PowerPoint Editingcited by 9
  10. 2025PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generationcited by 7
  11. 2025LayoutCoT: Unleashing the Deep Reasoning Potential of Large Language Models for Layout Generationcited by 6
  12. 2025LayoutRectifier: An Optimization-based Post-processing for Graphic Design Layout Generationcited by 3

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 5.

5 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2025P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark
  2. 2025PosterGen: Aesthetic-Aware Multi-Modal Paper-to-Poster Generation via Multi-Agent LLMs
  3. 2026PaperBanana: Automating Academic Illustration for AI Scientists
  4. 2026PosterVerse: A Full-Workflow Framework for Commercial-Grade Poster Generation with HTML-Based Scalable Typography
  5. 2026PosterHarness: Turning Scientific Poster Generation into an Auditable Instruction-Following Benchmark
  6. 2026Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs
  7. 2026ACE: A Self-Correcting Agentic Canvas Editor for Multi-Slide Presentation Automation
  8. 2025From Pixels to Paths: A Multi-Agent Framework for Editable Scientific Illustration