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AI Models Still Prefer Guessing Over Asking for Help, Benchmark Finds
Key Takeaways
- ProactiveBench tests whether multimodal AI models ask for missing visual information.
- Across 22 models, average performance fell from 79.8 percent in standard settings to 17.5 percent on the proactive benchmark.
- The findings suggest current systems are better at guessing than recognizing when they need help.
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DT Editorial Team··via the-decoder.com
