GUI agents can transform live web interfaces in real-time via DOM manipulations to deliver contextual assistance directly within the application.
arXiv:2507.18165 [cs.HC] https://arxiv.org/abs/2507.18165
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
fields
cs.HC 4years
2026 4verdicts
UNVERDICTED 4representative citing papers
LLM-native figures embed provenance and enable direct LLM interaction with scientific visualizations to accelerate discovery and improve reproducibility.
Gaze-informed proactive LLM assistance maintained children's attention on picture regions longer and guided exploration to related areas more effectively than random assistance in a within-subject study.
An LLM-based framework recommends drill-down paths in visual analytics by approximating a greedy algorithm, interpreting user intent, and managing exploration branches to reduce cognitive load.
citing papers explorer
-
Beyond Chat and Clicks: GUI Agents for In-Situ Assistance via Live Interface Transformation
GUI agents can transform live web interfaces in real-time via DOM manipulations to deliver contextual assistance directly within the application.
-
Figures as Interfaces: Toward LLM-Native Artifacts for Scientific Discovery
LLM-native figures embed provenance and enable direct LLM interaction with scientific visualizations to accelerate discovery and improve reproducibility.
-
Gaze-Informed Proactive AI Assistance for Children's Picture Exploration
Gaze-informed proactive LLM assistance maintained children's attention on picture regions longer and guided exploration to related areas more effectively than random assistance in a within-subject study.
-
Intelligent Drill-Down: Large Language Model-Driven Drill-Down Technique for Human-AI Collaborative Visual Exploration
An LLM-based framework recommends drill-down paths in visual analytics by approximating a greedy algorithm, interpreting user intent, and managing exploration branches to reduce cognitive load.