activity
20242026
most citedA Framework for Longitudinal Health AI Agents

1 citations · 1 across the 2 of their papers we have counts for

collaborators

12 papers

cs.LG2026

ChronoMedicalWorld: A Medical World Model for Learning Patient Trajectories from Longitudinal Care Data

Jiangyuan Wang, Xuyong Chen, Junwei He +3

Long-horizon clinical simulation -- predicting how a patient's physiology evolves over years under specified interventions -- is central to chronic-disease care, yet existing elect…

cs.AI20261 cited

A Framework for Longitudinal Health AI Agents

Georgianna Lin, Rencong Jiang, Noémie Elhadad +1

Although artificial intelligence (AI) agents are increasingly proposed to support potentially longitudinal health tasks, such as symptom management, behavior change, and patient su…

cs.AI2026

Towards a Science of Scaling Agent Systems

Yubin Kim, Ken Gu, Chanwoo Park +17

Agents, language model-based systems capable of reasoning, planning, and acting are widely adopted in real-world tasks, yet how their performance changes as these systems scale acr…

cs.CL2025

Medical Hallucinations in Foundation Models and Their Impact on Healthcare

Yubin Kim, Hyewon Jeong, Shan Chen +24

Hallucinations in foundation models arise from autoregressive training objectives that prioritize token-likelihood optimization over epistemic accuracy, fostering overconfidence an…

cs.DB2025

RADAR: Benchmarking Language Models on Imperfect Tabular Data

Ken Gu, Zhihan Zhang, Kate Lin +18

Language models (LMs) are increasingly being deployed to perform autonomous data analyses. However, their data awareness -- the ability to recognize, reason over, and appropriately…

cs.CL2025

Substance over Style: Evaluating Proactive Conversational Coaching Agents

Vidya Srinivas, Xuhai Xu, Xin Liu +5

While NLP research has made strides in conversational tasks, many approaches focus on single-turn responses with well-defined objectives or evaluation criteria. In contrast, coachi…