derived measurements 1evaluation metrics 1llm over-trust 1physiological sensing 1reliability evidence 1
From the 1 of 2 linked papers with an AI index.
2 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)…
eess.SP2025
Three-Dimensional Sparse Random Mode Decomposition for Mode Disentangling with Crossover Instantaneous Frequencies
Chen Luo, Tao Chen, Lei Xie +1
Sparse random mode decomposition (SRMD) is a novel algorithm that constructs a random time-frequency feature space to sparsely approximate spectrograms, effectively separating mode…