1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2025
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models
Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee +4
When does a large language model (LLM) know what it does not know? Uncertainty quantification (UQ) provides measures of uncertainty, such as an estimate of the confidence in an LLM…
cs.LG2025★ 1 cited
Unified Flow Matching for Long Horizon Event Forecasting
Xiao Shou
Modeling long horizon marked event sequences is a fundamental challenge in many real-world applications, including healthcare, finance, and user behavior modeling. Existing neural…
cs.LG2024★ 1 cited
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…