Generating executable structured queries for OpenStreetMap (OSM) from natural language remains a challenging task due to the rigid syntax of OverpassQL and the steep learning curve it presents to end-users. While steering Large Language Models (LLMs) via
demonstration contexts
offers a promising solution, existing...
Zhuoyue Wan, Wentao Hu, Hwanhee Kim et al.· Proceedings of the ACM on Ma...· 0 citations
A new paradigm that reframes Text-to-Vis as interaction-driven intent recovery, and the first benchmark for dynamic interactive Text-to-Vis, featuring controlled imperfection injection, a leakage-controlled User Agent for realistic multi-turn feedback, and dual-perspective (code and chart) automated evaluation are intr...
Wenxin Xu, Jin-Wei Lu, Hwanhee Kim et al.· 0 citations
The findings reveal that transformer-based large language models exhibit learning patterns similar to those of human learners, with a faster learning speed for simpler subtasks compared to more complex ones, which suggests that transformer-based LLMs may share cognitive processes with human learners in arithmetic.
Luyu Qiu, Jianing Li, Hwanhee Kim et al.· 0 citations
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