1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2025
ESI: Epistemic Uncertainty Quantification via Semantic-preserving Intervention for Large Language Models
Mingda Li, Xinyu Li, Weinan Zhang +1
Uncertainty Quantification (UQ) is a promising approach to improve model reliability, yet quantifying the uncertainty of Large Language Models (LLMs) is non-trivial. In this work,…
cs.CL2024★ 1 cited
Large Language Models for Automatic Detection of Sensitive Topics
Ruoyu Wen, Stephanie Elena Crowe, Kunal Gupta +6
Sensitive information detection is crucial in content moderation to maintain safe online communities. Assisting in this traditionally manual process could relieve human moderators…