SIGNPOST-Bench - Adversarial Text Bias: leaderboard

Text Bias Score from SIGNPOST-Bench (arXiv 2608.04244v1, Table 1): mean increase in geodesic localization error, in kilometres, when scene text is replaced by a conflicting geographic cue, compared with the same image with its text removed; macro-averaged over four datasets. Lower is better.

Metric: Mean added geodesic error from adversarial text relative to the text-removed image (km; lower is better). Source: arxiv.org. Saturation forecast: Estimated already saturated. 20 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash811#103
2Gemini 3.1 Pro (Preview)879#64
3Gemini 2.5 Pro888#159
4Qwen 3 VL 30B A3B Instruct1100#390
5GPT-51317#105
6GPT-4o Mini1346#598
7Gemini 2.5 Flash1441#255
8GPT-4o1461#357
9Claude Opus 4.61482#67
10Claude Sonnet 4.61535#94
11GPT-5.41558#83
12Kimi K2.51577#152
13Qwen 3 VL 235B A22B Instruct1787#280
14Doubao-Seed-2.0-Pro-2602151796#86
15Claude Haiku 4.52287#287

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=signpost-bench-adversarial-text-bias · How It Works · Data refreshed daily, snapshot 2026-11-05.