Papers by Hye-young Paik
HiSA: Hierarchical State Abstraction for Scalable GUI Agents (2026.findings-acl)
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| Challenge: | Recent multimodal large language models (MLLMs) exploit insufficient state abstraction to automate workflows. |
| Approach: | They propose a hierarchical state abstraction approach that actively restructures knowledge rather than passively retaining historical information. |
| Outcome: | The proposed approach achieves a 40.58% success rate while reducing token consumption by 69.85% and monetary costs by 55.10% compared to the best-performing baseline. |