Demystifying Numerical Errors in LLM Inference: Achieving Reproducible Inference for Mission-Critical Tasks with HEAL

Zhenting Zhu, Lucas Thai, Shan Yu, Yicheng Liu and 4 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

One Loss to Rule Them All: Marked Time-to-Event for Structured EHR Foundation Models

ORA proposes a marked time-to-event pretraining objective that jointly models clinical event timing and measurements to surpass next-token prediction for structured EHR foundation models.

Zilin Jing, Vincent Jeanselme, Yuta Kobayashi, Simon Lee and 5 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Inertia-1: An Open Exploration of Wearable Motion Foundation Models

Inertia-1 explores wearable motion foundation models via 18.2M hours of accelerometer data, yielding state-of-the-art recipes and open design principles for diverse sensing tasks.

Zongzhe Xu, Aakarsh Anand, Sarah Jiang, Chuntung Zhuang and 3 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 35

GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring

GlucoFM decomposes CGM data into dual slow and short-term streams for pretraining, improving linear-probe phenotype classification and postprandial response prediction over prior models.

Zechen Li, Keerthana Natarajan, Weizhi Zhang, Simon Lee and 10 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face