PPTArena: A Benchmark for Agentic PowerPoint Editing

• URL: http://arxiv.org/abs/2512.03042v2
• Date: Fri, 05 Dec 2025 22:58:28 GMT
• Title: PPTArena: A Benchmark for Agentic PowerPoint Editing
• Abstract summary: We introduce a benchmark for PowerPoint editing that measures reliable modifications to real slides under natural-language instructions.<n>PPTArena focuses on in-place editing across 100 decks, 2125 slides, and over 800 targeted edits covering text, charts, tables, animations, and master-level styles.<n>We propose a structure-aware slide-editing agent that plans semantic edit sequences, routes between high-level programmatic tools, and deterministic XML operations for precise control.
• Score: 57.55409966131844
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We introduce PPTArena, a benchmark for PowerPoint editing that measures reliable modifications to real slides under natural-language instructions. In contrast to image-PDF renderings or text-to-slide generation, PPTArena focuses on in-place editing across 100 decks, 2125 slides, and over 800 targeted edits covering text, charts, tables, animations, and master-level styles. Each case includes a ground-truth deck, a fully specified target outcome, and a dual VLM-as-judge pipeline that separately scores instruction following and visual quality using both structural diffs and slide images. Building on this setting, we propose PPTPilot, a structure-aware slide-editing agent that plans semantic edit sequences, routes between high-level programmatic tools and deterministic XML operations for precise control, and verifies outputs through an iterative plan-edit-check loop against task-specific constraints. In our experiments, PPTPilot outperforms strong proprietary agents and frontier VLM systems by over 10 percentage points on compound, layout-sensitive, and cross-slide edits, with particularly large gains in visual fidelity and deck-wide consistency. Despite these improvements, existing agents still underperform on long-horizon, document-scale tasks in PPTArena, highlighting the remaining challenges in reliable PPT editing.

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