PresentBench: A Fine-Grained Rubric-Based Benchmark for Slide Generation
Slides serve as a critical medium for conveying information in presentation-oriented scenarios such as academia, education, and business. Despite their importance, creating high-quality slide decks remains time-consuming and cognitively demanding. Recent advances in generative models, such as Nano Banana Pro, have made automated slide generation increasingly feasible. However, existing evaluations of slide generation are often coarse-grained and rely on holistic judgments, making it difficult to accurately assess model capabilities or track meaningful advances in the field. In practice, the lack of fine-grained, verifiable evaluation criteria poses a critical bottleneck for both research ...
| Authors | Xin-Sheng Chen, Jiayu Zhu, Pei-lin Li et al. |
|---|---|
| Primary category | cs.CV |
| Published | 7 March 2026 |
| Last updated at source | 7 March 2026 |
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- PresentBench/PresentBenchDataset · cited by
- lynnzuo/PresentBenchDataset · cited by
Models and datasets referencing this paper
- PresentBench/PresentBenchDataset
- lynnzuo/PresentBenchDataset
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