4 papers
HARP: Hallucination Detection via Reasoning Subspace Projection
Junjie Hu, Gang Tu, ShengYu Cheng +5
Hallucinations in Large Language Models (LLMs) pose a major barrier to their reliable use in critical decision-making. Although existing hallucination detection methods have improv…
LLM Hallucination Detection: HSAD
JinXin Li, Gang Tu, JunJie Hu
Although Large Language Models have demonstrated powerful capabilities in a wide range of tasks such as language understanding and code generation, the frequent occurrence of hallu…
LLM Hallucination Detection: A Fast Fourier Transform Method Based on Hidden Layer Temporal Signals
Jinxin Li, Gang Tu, ShengYu Cheng +5
Hallucination remains a critical barrier for deploying large language models (LLMs) in reliability-sensitive applications. Existing detection methods largely fall into two categori…
GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series
Gang Tu, Dan Li, Bingxin Lin +2
Unlike images and natural language tokens, time series data is highly semantically sparse, resulting in labor-intensive label annotations. Unsupervised and Semi-supervised Domain A…