activity
20232026
most citedBuilding Persona Consistent Dialogue Agents with Offline Reinforcement Learning

1 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

SimTrace: Grounded Multimodal User Trajectories Generation for Online User Modeling

Yunan Lu, Shuang Xie, Meghna Allamudi +4

Virtual clients offer a cost-effective approach to support applications such as A/B testing, recommender system development, and interface evaluation. However, building them requir…

cs.CL2026

VISTA: A Versatile Interactive User Simulation Toolkit for Agent Evaluation

Yunan Lu, Ryan Shea, Yusen Zhang +1

Evaluation remains a critical bottleneck for interactive agent development. Existing evaluation methods often rely on static benchmarks, which fail to capture the dynamic, multi-st…

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…

cs.AI2024★ 1 cited

A Fairness-Driven Method for Learning Human-Compatible Negotiation Strategies

Ryan Shea, Zhou Yu

Despite recent advancements in AI and NLP, negotiation remains a difficult domain for AI agents. Traditional game theoretic approaches that have worked well for two-player zero-sum…

cs.CL2023★ 1 cited

Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning

Ryan Shea, Zhou Yu

Maintaining a consistent persona is a key quality for any open domain dialogue system. Current state-of-the-art systems do this by training agents with supervised learning or onlin…