3 papers
cs.LG2026
Interpretable Cross-Network Attention for Resting-State fMRI Representation Learning
Karanpartap Singh, Adam Turnbull, Mohammad Abbasi +3
Understanding how large-scale functional brain networks reorganize during cognitive decline remains a central challenge in neuroimaging. While recent self-supervised models have sh…
cs.CL2025
Curriculum-Guided Layer Scaling for Language Model Pretraining
Karanpartap Singh, Neil Band, Ehsan Adeli
As the cost of pretraining large language models grows, there is continued interest in strategies to improve learning efficiency during this core training stage. Motivated by cogni…
cs.CL2023
New Evaluation Metrics Capture Quality Degradation due to LLM Watermarking
Karanpartap Singh, James Zou
With the increasing use of large-language models (LLMs) like ChatGPT, watermarking has emerged as a promising approach for tracing machine-generated content. However, research on L…