2 citations · 2 across the 5 of their papers we have counts for
5 papers
BCG-FM: A Foundation Model for Ambient Cardiac Health Sensing
Magnus Ruud Kjaer, Haejun Han, Ashish Neupane +1
Foundation models for wearable biosignals have matched or exceeded supervised specialists across a range of clinical tasks, yet all rely on modalities that require deliberate user…
Think Fast, Talk Smart: Partitioning Deterministic and Neural Computation for Structured Health Text Generation
Kai-Chen Cheng, Haejun Han, David Q. Sun
Large language models (LLMs) are increasingly being used to generate health text from structured records such as wearable time series, biomarkers, vitals, and care-management logs.…
ASTRA-bench: Evaluating Tool-Use Agent Reasoning and Action Planning with Personal User Context
Zidi Xiu, David Q. Sun, Kevin Cheng +9
Next-generation AI must manage vast personal data, diverse tools, and multi-step reasoning, yet most benchmarks remain context-free and single-turn. We present ASTRA-bench (Assista…
Protected group bias and stereotypes in Large Language Models
Hadas Kotek, David Q. Sun, Zidi Xiu +2
As modern Large Language Models (LLMs) shatter many state-of-the-art benchmarks in a variety of domains, this paper investigates their behavior in the domains of ethics and fairnes…
DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues
David Q. Sun, Artem Abzaliev, Hadas Kotek +3
Controversy is a reflection of our zeitgeist, and an important aspect to any discourse. The rise of large language models (LLMs) as conversational systems has increased public reli…