derived measurements 1evaluation metrics 1llm over-trust 1physiological sensing 1reliability evidence 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.AI2026
When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence
Zongheng Guo, Tao Chen, Tianli Li +6
The paper defines and quantifies derived-feature over‑trust (DFOT) where large language models treat derived measurements as direct facts, using physiological sensing (PPG vs. ECG)…
cond-mat.quant-gas2026
Programmable Gauge-Field Textures with Ultracold Atoms in Momentum Space
Hongru Wang, Hang Li, Yichen Pan +4
Synthetic gauge fields with ultracold atoms offer a route to quantum matter in which electromagnetic environments can be designed rather than merely imposed. While the Harper-Hofst…
cs.LG2026
SIGMA-PPG: Statistical-prior Informed Generative Masking Architecture for PPG Foundation Model
Zongheng Guo, Tao Chen, Yang Jiao +3
Current foundation model for photoplethysmography (PPG) signals is challenged by the intrinsic redundancy and noise of the signal. Standard masked modeling often yields trivial sol…