collaborators

5 papers

cs.LG2026

MortarBench: Evaluating Mortgage Loan Origination Agents

Matthew Toles, Yunan Lu, Manav Munjal +6

Loan origination is the process by which a lender creates a new loan, from application and underwriting through approval and funding. This process serves a critical role in evaluat…

cs.CL2026

PQR: A Framework to Generate Diverse and Realistic User Queries that Elicit QA Agent Failures

Yunan Lu, Luigi Liu, Omar Yahia +2

Evaluating LLM-based agents remains challenging because identifying meaningful failure cases often requires substantial human effort to design realistic test scenarios. Prior works…

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…