Ahmad Shapiro

HALT: Hallucination Assessment via Log-probs as Time series

A lightweight hallucination detector that leverages only the top-20 token log-probabilities from LLM generations as a time series, providing an extremely efficient alternative to large encoders and establishing an effective framework for hallucination detection across diverse LLM capabilities.