Dang Nguyen

Improving Mini-batch Optimal Transport via Partial Transportation

2021 · arXiv (Cornell University)

Mini-batch optimal transport (m-OT) has been widely used recently to deal with the memory issue of OT in large-scale applications. Despite their practicality, m-OT suffers from misspecified mappings, namely, mappings that are optimal on the …

Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity

2025

Hallucination in large language models (LLMs) can be detected by assessing the uncertainty of model outputs, typically measured using entropy.Semantic entropy (SE) enhances traditional entropy estimation by quantifying uncertainty at the semantic cluster level.However, as …