Grounding Awareness
Harbor: pendingA controlled benchmark of 160 scenarios and 800 test instances evaluating agents' ability to distinguish accepted from unacknowledged proposals in longitudinal interactions.
- Samples
- 800
- Released
- 2026
- Scores
- 6
VisAudit: Evaluating Multimodal Agents for Visual Diagnosis and Repair
A benchmark with 2,200 instances (1,900 flawed, 300 correct) evaluating multimodal agents on autonomous visualization diagnosis, repair, and verification across 21 chart types.
$ npm i -g lettokenburn-cli$ ltb bench info visaudit
External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
| Harness | Source | Confidence | Link | |||
|---|---|---|---|---|---|---|
| Gemini | 68.0 | N/A | Independent | medium | Oct 1, 2026 | arxiv.org |
| Claude | 63.1 | N/A | Independent | medium | Oct 1, 2026 | arxiv.org |
| DeepSeek Chat | 63.1 | N/A | Independent | medium | Oct 1, 2026 | arxiv.org |
| Qwen Max (2025-01-25) | 60.2 | N/A | Independent | medium | Oct 1, 2026 | arxiv.org |
| Gemma | 57.1 | N/A | Independent | medium | Oct 1, 2026 | arxiv.org |
| Mistral | 56.7 | N/A | Independent | medium | Oct 1, 2026 | arxiv.org |
| Ministral | 35.1 | N/A | Independent | medium | Oct 1, 2026 | arxiv.org |
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
VisAudit contains 1,900 flawed and 300 correct chart instances constructed via controlled perturbations of validated source visualizations. It spans 21 chart types and 10 flaw categories, providing auxiliary evidence like source data and code.
The benchmark uses three tracks: diagnosed repair, autonomous repair, and open-world verification. Evaluation measures executability, recovery, preservation, and correct-chart recognition, revealing that top models recover only 47.4% of flaws autonomously.