SceneFunRI benchmark shows current VLMs struggle severely with inferring locations of invisible functional objects, with the strongest model (Gemini 3 Flash) reaching only 15.20 CAcc@75.
Llms meet vlms: Boost open vocabulary ob- ject detection with fine-grained descriptors
2 Pith papers cite this work. Polarity classification is still indexing.
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Mild rotations and noise significantly increase relation hallucinations in VLMs across models and datasets, with prompt and preprocessing fixes providing only partial relief.
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SceneFunRI: Reasoning the Invisible for Task-Driven Functional Object Localization
SceneFunRI benchmark shows current VLMs struggle severely with inferring locations of invisible functional objects, with the strongest model (Gemini 3 Flash) reaching only 15.20 CAcc@75.
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When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise
Mild rotations and noise significantly increase relation hallucinations in VLMs across models and datasets, with prompt and preprocessing fixes providing only partial relief.