2 papers
cs.CL2026
Listen to the Layers: Mitigating Hallucinations with Inter-Layer Disagreement
Koduvayur Subbalakshmi, Sabbir Hossain Ujjal, Venkata Krishna Teja Mangichetty +1
Pretrained Large Language Models (LLMs) are prone to generating fluent yet factually incorrect text-a phenomenon known as hallucinations, undermining their reliability and utility…
cs.CL2025
Can Large Language Models Detect Misinformation in Scientific News Reporting?
Yupeng Cao, Aishwarya Muralidharan Nair, Nastaran Jamalipour Soofi +2
Scientific facts are often spun in the popular press with the intent to influence public opinion and action, as was evidenced during the COVID-19 pandemic. Automatic detection of m…