2 papers
cs.CL2026
Fact-Checking with Large Language Models via Probabilistic Certainty and Consistency
Haoran Wang, Maryam Khalid, Qiong Wu +2
Large language models (LLMs) are increasingly used in applications requiring factual accuracy, yet their outputs often contain hallucinated responses. While fact-checking can mitig…
cs.CL2023
Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models
Jiang Zhang, Qiong Wu, Yiming Xu +3
Toxic content detection is crucial for online services to remove inappropriate content that violates community standards. To automate the detection process, prior works have propos…