When making decisions and judgments, humans can fall into common "traps," known as cognitive biases. A cognitive bias is ...

The field of bioinformatics has seen significant advancements in recent years, particularly in the application of artificial intelligence (AI) for the analysis and interpretation of large-scale data ...

Abstract: How much data is needed to optimally schedule distributed energy resources (DERs)? Does the distribution system operator (DSO) have to know load demands at each bus of the feeder to solve an ...

Abstract: For electroencephalogram (EEG)-based emotion recognition, various EEG features are extracted from frequency, time, and time-frequency domains for modeling. Nevertheless, there is no a ...

This project investigates token quality from a noisy-label perspective and propose a generic token cleaning pipeline for SFT tasks. Our method filters out uninformative tokens while preserving those ...