RoboAbstention - Ambiguous Referent: leaderboard

Metric: Abstention rate (%) on the 420 Ambiguous Referent instructions, image plus instruction to an embodied VLM planner, every instruction warranting abstention, act or abstain judged by GPT-5.4 mini (97.5 percent agreement with human labels), API default sampling; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 11 models tracked.

Top models

#ModelScore
1Gemini 2.5 Flash6
2Llama 4 Maverick3.8
3Claude Sonnet 4.62.4
4GPT-5.4 Mini (High)1.7
5Qwen 3.5 27B1.4
6GPT-5.4 Nano0.7
7GPT-5.4 Mini (Medium)0.7
8GPT-5.4 Mini (Low)0.7
9GPT-5.4 Mini (Non-reasoning)0.5
10GPT-5.40

Interactive version: theaggregate.ai/benchmark?slug=roboabstention-ambiguous-referent · How It Works · Data refreshed daily, snapshot 2026-10-07.