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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.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.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…