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cs.CL2025
SAGE: A Top-Down Bottom-Up Knowledge-Grounded User Simulator for Multi-turn AGent Evaluation
Ryan Shea, Yunan Lu, Liang Qiu +1
Evaluating multi-turn interactive agents is challenging due to the need for human assessment. Evaluation with simulated users has been introduced as an alternative, however existin…
cs.CL2025
AutoSpec: An Agentic Framework for Automatically Drafting Patent Specification
Ryan Shea, Zhou Yu
Patents play a critical role in driving technological innovation by granting inventors exclusive rights to their inventions. However the process of drafting a patent application is…
cs.CL2024★ 1 cited
ACE: A LLM-based Negotiation Coaching System
Ryan Shea, Aymen Kallala, Xin Lucy Liu +2
The growing prominence of LLMs has led to an increase in the development of AI tutoring systems. These systems are crucial in providing underrepresented populations with improved a…