3 citations · 7 across the 7 of their papers we have counts for
8 papers · 1 filter
Ensembling Large Language Models to Characterize Affective Dynamics in Student-AI Tutor Dialogues
Chenyu Zhang, Sharifa Alghowinem, Cynthia Breazeal
While recent studies have examined the leaning impact of large language model (LLM) in educational contexts, the affective dynamics of LLM-mediated tutoring remain insufficiently u…
A Demonstration of Adaptive Collaboration of Large Language Models for Medical Decision-Making
Yubin Kim, Chanwoo Park, Hyewon Jeong +7
Medical Decision-Making (MDM) is a multi-faceted process that requires clinicians to assess complex multi-modal patient data patient, often collaboratively. Large Language Models (…
Can Language Models Take A Hint? Prompting for Controllable Contextualized Commonsense Inference
Pedro Colon-Hernandez, Nanxi Liu, Chelsea Joe +5
Generating commonsense assertions within a given story context remains a difficult task for modern language models. Previous research has addressed this problem by aligning commons…
EmpathicStories++: A Multimodal Dataset for Empathy towards Personal Experiences
Jocelyn Shen, Yubin Kim, Mohit Hulse +4
Modeling empathy is a complex endeavor that is rooted in interpersonal and experiential dimensions of human interaction, and remains an open problem within AI. Existing empathy dat…
HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs
Jocelyn Shen, Joel Mire, Hae Won Park +2
Empathy serves as a cornerstone in enabling prosocial behaviors, and can be evoked through sharing of personal experiences in stories. While empathy is influenced by narrative cont…
Improving Dialogue Agents by Decomposing One Global Explicit Annotation with Local Implicit Multimodal Feedback
Dong Won Lee, Hae Won Park, Yoon Kim +2
We describe an approach for aligning an LLM-based dialogue agent based on global (i.e., dialogue-level) rewards, while also taking into account naturally-occurring multimodal signa…