activity
20202026
most citedHealth-LLM: Large Language Models for Health Prediction via Wearable Sensor Data

30 citations · 66 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.CL2024

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…

cs.CL20241 cited

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…

cs.CL2024

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…

cs.CL2024

MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making

Yubin Kim, Chanwoo Park, Hyewon Jeong +7

Foundation models are becoming valuable tools in medicine. Yet despite their promise, the best way to leverage Large Language Models (LLMs) in complex medical tasks remains an open…

cs.CL202430 cited

Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data

Yubin Kim, Xuhai Xu, Daniel McDuff +2

Large language models (LLMs) are capable of many natural language tasks, yet they are far from perfect. In health applications, grounding and interpreting domain-specific and non-l…

cs.CL2023

Modeling Empathic Similarity in Personal Narratives

Jocelyn Shen, Maarten Sap, Pedro Colon-Hernandez +2

The most meaningful connections between people are often fostered through expression of shared vulnerability and emotional experiences in personal narratives. We introduce a new ta…