3 papers
cs.CL2025
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…
cs.CL2025
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…
cs.CL2025
Enhancing Small LLM Alignment through Margin-Based Objective Modifications under Resource Constraints
Daren Yao, Jinsong Yuan, Ruike Chen
Small large language models (LLMs) often face difficulties in aligning output to human preferences, particularly when operating under severe performance gaps. In this work, we prop…