4 citations · 5 across the 5 of their papers we have counts for
6 papers
Sidekick: Designing Communication for Effective Multitasking with Computer Use Agents
Ruei-Che Chang, Wenqian Xu, Dingzeyu Li +2
Computer Use Agents (CUAs) can autonomously execute complex, multi-step tasks within GUIs, enhancing efficiency through parallel multitasking. However, our formative studies with C…
Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation
Anirban Saha Anik, Xiaoying Song, Elliott Wang +3
Large language models (LLMs) incorporated with Retrieval-Augmented Generation (RAG) have demonstrated powerful capabilities in generating counterspeech against misinformation. Howe…
SimTube: Generating Simulated Video Comments through Multimodal AI and User Personas
Yu-Kai Hung, Yun-Chien Huang, Ting-Yu Su +4
Audience feedback is crucial for refining video content, yet it typically comes after publication, limiting creators' ability to make timely adjustments. To bridge this gap, we int…
Flowy: Supporting UX Design Decisions Through AI-Driven Pattern Annotation in Multi-Screen User Flows
Yuwen Lu, Ziang Tong, Qinyi Zhao +3
Many recent AI-powered UX design tools focus on generating individual static UI screens from natural language. However, they overlook the crucial aspect of interactions and user ex…
LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing
Bryan Wang, Yuliang Li, Zhaoyang Lv +3
Video creation has become increasingly popular, yet the expertise and effort required for editing often pose barriers to beginners. In this paper, we explore the integration of lar…
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Tao Li, Gang Li, Zhiwei Deng +2
Large language models (LLMs) have shown increasing capacity at planning and executing a high-level goal in a live computer environment (e.g. MiniWoB++). To perform a task, recent w…