insight-o3-eval
InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search — Li et al. (2025) (arXiv:2512.18745, 2025)
What this evaluates
Evaluates multimodal reasoning and generalized visual search capabilities, measuring how well models can locate and reason about high-information-density images using a multi-agent framework with a dedicated visual search agent.
Datasets
- V-Bench* — total ?; splits: test (-1)
- Tree-Bench — total ?; splits: test (-1)
- VisualProbe-Hard — total ?; splits: test (-1)
- HR-Bench — total ?; splits: test (-1)
- MME-RealWorld — total 1919; splits: lite (1919)
- O3-Bench — total ?; splits: test (-1)
Metrics
Accuracy(primary) — range: percent- Percentage of correctly answered questions. Calculated as the number of correct predictions divided by the total number of predictions, multiplied by 100.
Input / output format
Input: An image and a natural language question or query.
Output: A textual answer and/or bounding box coordinates for visual search tasks.
Scoring recipe
def calculate_accuracy(predictions, gold):
correct = sum(1 for p, g in zip(predictions, gold) if p == g)
return (correct / len(gold)) * 100
Common pitfalls
- Image resolution constraints vary significantly by model API (e.g., OpenAI limits to 1280x1280px, while Gemini allows 3500x3500px), which impacts performance.
- Models may be reluctant to call the vSearcher tool or may use it incorrectly, leading to performance drops compared to standalone evaluation.
Evidence (verbatim from paper)
We evaluate a range of open and proprietary models/systems on the following benchmarks: (1) Natural-image benchmarks: V⋆-Bench, Tree-Bench, and VisualProbe-Hard. (2) Mixed benchmarks: HR-Bench and MME-RealWorld. ... (3) Our O3-Bench. In particular, the accuracy of GPT-5-mini on O3-Bench has improved from 39.0% to 61.5%.
Citation
@misc{li2025insighto3,
title={InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search},
author={Li et al. (2025)},
year={2025},
note={arXiv:2512.18745}
}
- arXiv: 2512.18745