3 papers
cs.LG2026
Perturbation-based Regional Interpretability through Subtraction Mapping (PRISM): naming-error dissociations in language models and post-stroke aphasia
Xiang Guan, Roger D. Newman-Norlund, Yong Yang +8
Mechanistic interpretability of large language models lacks spatially resolved, falsifiable tools for testing whether internal components are specialized for distinct cognitive ope…
cs.LG2026
Multi-level Self-supervised Pretraining on Compositional Hierarchical Graph for Molecular Property Prediction
Xiayu Liu, Zhengyi Lu, Hou-biao Li
Self-supervised pretraining on molecular graphs has emerged as a promising approach for molecular property prediction, yet most existing methods operate at a single structural gran…
cs.LG2026
Local-Global Multimodal Contrastive Learning for Molecular Property Prediction
Xiayu Liu, Zhengyi Lu, Yunhong Liao +2
Accurate molecular property prediction requires integrating complementary information from molecular structure and chemical semantics. In this work, we propose LGM-CL, a local-glob…