Papers by Yoonji Kim
Diagnosing Spatial Consistency across Perspectives and Viewpoints in Large Vision-Language Models (2026.acl-long)
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| Challenge: | Existing models assess spatial capabilities from a static, single-view and egocentric perspective, failing to capture the dynamic nature of real-world spatial cognition. |
| Approach: | They propose a benchmark to diagnose spatial reasoning capabilities using a 360 field of view. |
| Outcome: | The proposed benchmark evaluates allocentric and egocentric reasoning capabilities from multiple perspectives in high-quality 3D environments. |
Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models (2025.acl-long)
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| Challenge: | Large language models (LLMs) are renowned for their extensive linguistic knowledge and strong generalization capabilities, but their high computational demands make them unsuitable for resource-constrained environments. |
| Approach: | They propose a framework that integrates a single frozen layer from an LLM into a SLM and fine-tunes the combined model for specific tasks. |
| Outcome: | The proposed framework improves performance across a range of natural language processing tasks, including both natural language understanding and generation. |