activity
19952025
most citedCentering in Italian

31 citations · 63 across the 22 of their papers we have counts for

collaborators

22 papers

cs.CL2025★ 5 cited

Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach

Rochana Chaturvedi, Peyman Baghershahi, Sourav Medya +1

Temporal information extraction from unstructured text is essential for contextualizing events and deriving actionable insights, particularly in the medical domain. We address the…

cs.CL2024

Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks

Yue Zhou, Henry Peng Zou, Barbara Di Eugenio +1

We find that language models have difficulties generating fallacious and deceptive reasoning. When asked to generate deceptive outputs, language models tend to leak honest counterp…

cs.CL2024

Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation

Yue Zhou, Barbara Di Eugenio, Brian Ziebart +3

Health coaching helps patients achieve personalized and lifestyle-related goals, effectively managing chronic conditions and alleviating mental health issues. It is particularly be…

cs.CL2024★ 2 cited

Towards Enhancing Health Coaching Dialogue in Low-Resource Settings

Yue Zhou, Barbara Di Eugenio, Brian Ziebart +5

Health coaching helps patients identify and accomplish lifestyle-related goals, effectively improving the control of chronic diseases and mitigating mental health conditions. Howev…

cs.HC2023

A Lens to Pandemic Stay at Home Attitudes

Andrew Wentzel, Lauren Levine, Vipul Dhariwal +5

We describe the design process and the challenges we met during a rapid multi-disciplinary pandemic project related to stay-at-home orders and social media moral frames. Unlike our…

cs.RO2023

An End-to-End Human Simulator for Task-Oriented Multimodal Human-Robot Collaboration

Afagh Mehri Shervedani, Siyu Li, Natawut Monaikul +3

This paper proposes a neural network-based user simulator that can provide a multimodal interactive environment for training Reinforcement Learning (RL) agents in collaborative tas…