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cs.AI2026
AutoRPA: Efficient GUI Automation through LLM-Driven Code Synthesis from Interactions
Minghao Chen, Xinyi Hu, Zhou Yu +1
Large Language Model (LLM) based agents have demonstrated proficiency in multi-step interactions with graphical user interfaces (GUIs). While most research focuses on improving sin…
cs.AI2026
FormGym: Doing Paperwork with Agents
Matthew Toles, Rattandeep Singh, Isaac Song +1
Completing paperwork is a challenging and time-consuming problem. Form filling is especially challenging in the pure-image domain without access to OCR, typeset PDF text, or a DOM.…
cs.AI2025
Program Synthesis Dialog Agents for Interactive Decision-Making
Matthew Toles, Nikhil Balwani, Rattandeep Singh +2
Many real-world eligibility problems, ranging from medical diagnosis to tax planning, can be mapped to decision problems expressed in natural language, wherein a model must make a…