33 citations · 104 across the 21 of their papers we have counts for
3 papers · 1 filter
Foundation Model Sherpas: Guiding Foundation Models through Knowledge and Reasoning
Debarun Bhattacharjya, Junkyu Lee, Don Joven Agravante +2
Foundation models (FMs) such as large language models have revolutionized the field of AI by showing remarkable performance in various tasks. However, they exhibit numerous limitat…
Self-Supervised Contrastive Pre-Training for Multivariate Point Processes
Xiao Shou, Dharmashankar Subramanian, Debarun Bhattacharjya +2
Self-supervision is one of the hallmarks of representation learning in the increasingly popular suite of foundation models including large language models such as BERT and GPT-3, b…
Distilling Event Sequence Knowledge From Large Language Models
Somin Wadhwa, Oktie Hassanzadeh, Debarun Bhattacharjya +2
Event sequence models have been found to be highly effective in the analysis and prediction of events. Building such models requires availability of abundant high-quality event seq…