most citedGemma 4 Technical Report

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

collaborators

5 papers

cs.CL20261 cited

Gemma 4 Technical Report

Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320

We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemm…

q-bio.QM2025

Beyond the Clinic: A Large-Scale Evaluation of Augmenting EHR with Wearable Data for Diverse Health Prediction

Will Ke Wang, Rui Yang, Chao Pang +7

Electronic health records (EHRs) provide a powerful basis for predicting the onset of health outcomes. Yet EHRs primarily capture in-clinic events and miss aspects of daily behavio…

cs.AI2025

Transforming Wearable Data into Personal Health Insights using Large Language Model Agents

Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei +17

Deriving personalized insights from popular wearable trackers requires complex numerical reasoning that challenges standard LLMs, necessitating tool-based approaches like code gene…

cs.CY2025

New Tools are Needed for Tracking Adherence to AI Model Behavioral Use Clauses

Daniel McDuff, Tim Korjakow, Kevin Klyman +1

Foundation models have had a transformative impact on AI. A combination of large investments in research and development, growing sources of digital data for training, and architec…

cs.LG2025

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources

Shayne Longpre, Stella Biderman, Alon Albalak +20

Foundation model development attracts a rapidly expanding body of contributors, scientists, and applications. To help shape responsible development practices, we introduce the Foun…