Alice Li — accepted AI-conference papers

2025

AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, Jonathan Waltz, Gabrielle Lau, Marybeth Fair +9

ICLR 2025poster

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 realistic and reproducible benchmarks. We present AndroidWorld, a fully functional Android environment that provides rew…

Cited by 58 Source ↗PDF ↗code ↗Scholar ↗

2024

On the Effects of Data Scale on UI Control Agents

Wei Li, William E Bishop, Alice Li, Christopher Rawles, Folawiyo Campbell-Ajala, Divya Tyamagundlu +1

NeurIPS 2024spotlight

Autonomous agents that control user interfaces to accomplish human tasks are emerging. Leveraging LLMs to power such agents has been of special interest, but unless fine-tuned on human-collected task demonstrations, performance is still relatively low. In this work we study whether fine-tuning alone…

Cited by 14 Source ↗PDF ↗Scholar ↗

2023

AndroidInTheWild: A Large-Scale Dataset For Android Device Control

Christopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, Timothy P Lillicrap

NeurIPS 2023poster

There is a growing interest in device-control systems that can interpret human natural language instructions and execute them on a digital device by directly controlling its user interface. We present a dataset for device-control research, Android in the Wild (AitW), which is orders of magnitude lar…

Cited by 178 Source ↗PDF ↗code ↗Scholar ↗