activity
20172026
most citedRethinking the Value of Labels for Improving Class-Imbalanced Learning

212 citations · 557 across the 44 of their papers we have counts for

collaborators
Showing 2025Show all

10 papers · 1 filter

cs.CV2025

Reasoning Within the Mind: Dynamic Multimodal Interleaving in Latent Space

Chengzhi Liu, Yuzhe Yang, Yue Fan +3

Recent advancements in Multimodal Large Language Models (MLLMs) have significantly enhanced cross-modal understanding and reasoning by incorporating Chain-of-Thought (CoT) reasonin…

cs.HC2025

Large Language Models have Chain-of-Affect

Junjie Xu, Xingjiao Wu, Luwei Xiao +11

As large language models (LLMs) move into persistent, user-facing roles, their behavior must be understood not as isolated responses but as a trajectory unfolding over sustained in…

cs.AI2025

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.AI2025★ 5 cited

The Anatomy of a Personal Health Agent

A. Ali Heydari, Ken Gu, Vidya Srinivas +35

Health is a fundamental pillar of human wellness, and the rapid advancements in large language models (LLMs) have driven the development of a new generation of health agents. Howev…

cs.LG2025

Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments

Yipeng Du, Zihao Wang, Ahmad Farhan +7

The deployment of large-scale models, such as large language models (LLMs), incurs substantial costs due to their computational demands. To mitigate these costs and address challen…

cs.LG2025

SensorLM: Learning the Language of Wearable Sensors

Yuwei Zhang, Kumar Ayush, Siyuan Qiao +17

We present SensorLM, a family of sensor-language foundation models that enable wearable sensor data understanding with natural language. Despite its pervasive nature, aligning and…

cs.LG2025★ 1 cited

LSM-2: Learning from Incomplete Wearable Sensor Data

Maxwell A. Xu, Girish Narayanswamy, Kumar Ayush +22

Foundation models, a cornerstone of recent advancements in machine learning, have predominantly thrived on complete and well-structured data. Wearable sensor data frequently suffer…

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.LG2025★ 3 cited

Insulin Resistance Prediction From Wearables and Routine Blood Biomarkers

Ahmed A. Metwally, A. Ali Heydari, Daniel McDuff +9

Insulin resistance, a precursor to type 2 diabetes, is characterized by impaired insulin action in tissues. Current methods for measuring insulin resistance, while effective, are e…

q-bio.TO2025

Passive Heart Rate Monitoring During Smartphone Use in Everyday Life

Shun Liao, Paolo Di Achille, Jiang Wu +15

Resting heart rate (RHR) is an important biomarker of cardiovascular health and mortality, but tracking it longitudinally generally requires a wearable device, limiting its availab…