Papers by Yinheng Li
Do GUI Grounders Truly Understand UI Elements? (2026.findings-eacl)
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| Challenge: | Existing grounding models and benchmarks are skewed toward web and mobile environments, neglecting desktop interfaces (especially windows). |
| Approach: | They propose a GUI Grounding Sensitivity Benchmark to assess UI grounding sensitivity to multiple descriptions of the same UI element. |
| Outcome: | The proposed model generates multiple valid instructions per UI element and develops nuanced validation methods to validate them. |
WinSpot: GUI Grounding Benchmark with Multimodal Large Language Models (2025.acl-short)
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| Challenge: | Existing GUI grounding data focuses on web-based elements, leaving a gap in real-world GUI interaction data for non-web applications. |
| Approach: | They propose a framework that leverages Large Language Models to generate large-scale GUI grounding data. |
| Outcome: | The framework validates and refines 5,000 GUI coordinate-instruction pairs and provides high-quality data for training and evaluating visual GUI agents. |