Search papers, labs, and topics across Lattice.
3
0
8
Overconfident predictions plague mental health prediction models, but this new framework leverages evidential learning to provide more trustworthy uncertainty estimates and human-understandable reasoning signals.
LLMs often fail to reconcile conflicting information from text and knowledge graphs, instead latching onto a single source based on prompting, highlighting a critical vulnerability in RAG systems.
EEG foundation models struggle with limited data because of structural mismatch, but SCOPE solves this by creating structured prototypes that guide adaptation, leading to better generalization.
