2 citations · 4 across the 4 of their papers we have counts for
5 papers
LazySloth: Bounded LLM-based Lazy Tree Search for Fast Long Video Comprehension
Arka Mukherjee, Kaleen Shrestha, Larissa Zhu +1
Modern vision-language models (VLMs) have shown promising results in long-video understanding due to the rich semantic information they can capture. However, most methods focus on…
Exploring Socially Assistive Peer Mediation Robots for Teaching Conflict Resolution to Elementary School Students
Kaleen Shrestha, Harish Dukkipati, Avni Hulyalkar +3
In peer mediation--an approach to conflict resolution used in many K-12 schools in the United States--students help other students to resolve conflicts. For schools without peer me…
HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction
Zhonghao Shi, Enyu Zhao, Nathaniel Dennler +6
Real-time human perception is crucial for effective human-robot interaction (HRI). Large vision-language models (VLMs) offer promising generalizable perceptual capabilities but oft…
Engagement and Disclosures in LLM-Powered Cognitive Behavioral Therapy Exercises: A Factorial Design Comparing the Influence of a Robot vs. Chatbot Over Time
Mina Kian, Mingyu Zong, Katrin Fischer +10
Many researchers are working to address the worldwide mental health crisis by developing therapeutic technologies that increase the accessibility of care, including leveraging larg…
How Can Large Language Models Enable Better Socially Assistive Human-Robot Interaction: A Brief Survey
Zhonghao Shi, Ellen Landrum, Amy O' Connell +5
Socially assistive robots (SARs) have shown great success in providing personalized cognitive-affective support for user populations with special needs such as older adults, childr…