activity
20192026
most citedGunrock 2.0: A User Adaptive Social Conversational System

20 citations · 42 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

A Multi-Stage Validation Framework for Trustworthy Large-scale Clinical Information Extraction using Large Language Models

Maria Mahbub, Gregory M. Dams, Josh Arnold +9

Large language models (LLMs) show promise for extracting clinically meaningful information from unstructured health records, yet their translation into real-world settings is const…

cs.AI2021★ 2 cited

LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing

Yu Li, Josh Arnold, Feifan Yan +2

We present LEGOEval, an open-source toolkit that enables researchers to easily evaluate dialogue systems in a few lines of code using the online crowdsource platform, Amazon Mechan…

cs.CL2021★ 20 cited

Revealing Persona Biases in Dialogue Systems

Emily Sheng, Josh Arnold, Zhou Yu +2

Dialogue systems in the form of chatbots and personal assistants are being increasingly integrated into people's lives. Modern dialogue systems may consider adopting anthropomorphi…

cs.CL2020★ 20 cited

Gunrock 2.0: A User Adaptive Social Conversational System

Kaihui Liang, Austin Chau, Yu Li +8

Gunrock 2.0 is built on top of Gunrock with an emphasis on user adaptation. Gunrock 2.0 combines various neural natural language understanding modules, including named entity detec…

cs.CL2019

Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation

Mingyang Zhou, Josh Arnold, Zhou Yu

Reinforcement learning (RL) is an effective approach to learn an optimal dialog policy for task-oriented visual dialog systems. A common practice is to apply RL on a neural sequenc…