Papers by Julius Mayer

2 papers
Can you SPLICE it together? A Human Curated Benchmark for Probing Visual Reasoning in VLMs (2025.findings-emnlp)

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Challenge: SPLICE is a benchmark designed to probe event-based reasoning across multiple dimensions.
Approach: They introduce a human-curated benchmark to probe event-based reasoning across multiple dimensions.
Outcome: The proposed benchmark includes 3,381 human-filtered videos spanning 12 categories and 180 sub-categories . results show that state-of-the-art vision-language models struggle to match human performance .
iVISPAR — An Interactive Visual-Spatial Reasoning Benchmark for VLMs (2025.emnlp-main)

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Challenge: Vision-Language Models (VLMs) struggle with spatial reasoning and visual alignment, despite their performance on 2D tasks.
Approach: They propose a multimodal benchmark to evaluate VLMs' spatial reasoning capabilities based on the sliding tile puzzle .
Outcome: The proposed model performs better on 2D tasks compared to 3D or text-based settings, but struggles with complex spatial configurations and consistently falls short of human performance.

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