2 citations · 2 across the 8 of their papers we have counts for
8 papers
A Subgoal-driven Framework for Improving Long-Horizon LLM Agents
Taiyi Wang, Sian Gooding, Florian Hartmann +2
Large language model (LLM)-based agents have emerged as powerful autonomous controllers for digital environments, including mobile interfaces, operating systems, and web browsers.…
Watch and Learn: Learning to Use Computers from Online Videos
Chan Hee Song, Yiwen Song, Palash Goyal +4
Computer-using agents (CUAs) must plan task workflows across diverse and evolving applications, yet progress is limited by the lack of large-scale, high-quality training data. Exis…
Agent-Initiated Interaction in Phone UI Automation
Noam Kahlon, Guy Rom, Anatoly Efros +6
Phone automation agents aim to autonomously perform a given natural-language user request, such as scheduling appointments or booking a hotel. While much research effort has been d…
On the Effects of Data Scale on UI Control Agents
Wei Li, William Bishop, Alice Li +4
Autonomous agents that control computer interfaces to accomplish human tasks are emerging. Leveraging LLMs to power such agents has been of special interest, but unless fine-tuned…
VQA Training Sets are Self-play Environments for Generating Few-shot Pools
Tautvydas Misiunas, Hassan Mansoor, Jasper Uijlings +2
Large-language models and large-vision models are increasingly capable of solving compositional reasoning tasks, as measured by breakthroughs in visual-question answering benchmark…
Latent State Estimation Helps UI Agents to Reason
William E Bishop, Alice Li, Christopher Rawles +1
A common problem for agents operating in real-world environments is that the response of an environment to their actions may be non-deterministic and observed through noise. This r…
AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents
Christopher Rawles, Sarah Clinckemaillie, Yifan Chang +12
Autonomous agents that execute human tasks by controlling computers can enhance human productivity and application accessibility. However, progress in this field will be driven by…
UINav: A Practical Approach to Train On-Device Automation Agents
Wei Li, Fu-Lin Hsu, Will Bishop +3
Automation systems that can autonomously drive application user interfaces to complete user tasks are of great benefit, especially when users are situationally or permanently impai…