2 papers
cs.CL2025
InterpDetect: Interpretable Signals for Detecting Hallucinations in Retrieval-Augmented Generation
Likun Tan, Kuan-Wei Huang, Joy Shi +1
Retrieval-Augmented Generation (RAG) integrates external knowledge to mitigate hallucinations, yet models often generate outputs inconsistent with retrieved content. Accurate hallu…
cs.CL2025
FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models
Likun Tan, Kuan-Wei Huang, Kevin Wu
Hallucinations in large language models pose a critical challenge for applications requiring factual reliability, particularly in high-stakes domains such as finance. This work pre…