4 papers
Multi-Head Spectral-Adaptive Graph Anomaly Detection
Qingyue Cao, Bo Jin, Changwei Gong +3
Graph anomaly detection technology has broad applications in financial fraud and risk control. However, existing graph anomaly detection methods often face significant challenges w…
HAVE: Head-Adaptive Gating and ValuE Calibration for Hallucination Mitigation in Large Language Models
Xin Tong, Zhi Lin, Jingya Wang +1
Large Language Models (LLMs) often produce hallucinations in retrieval-augmented or long-context generation, even when relevant evidence is present. This stems from two issues: hea…
MEUV: Achieving Fine-Grained Capability Activation in Large Language Models via Mutually Exclusive Unlock Vectors
Xin Tong, Zhi Lin, Jingya Wang +2
Large language models (LLMs) enforce safety alignment to reliably refuse malicious requests, yet the same blanket safeguards also block legitimate uses in policing, defense, and ot…
CPSDBench: A Large Language Model Evaluation Benchmark and Baseline for Chinese Public Security Domain
Xin Tong, Bo Jin, Zhi Lin +3
Large Language Models (LLMs) have demonstrated significant potential and effectiveness across multiple application domains. To assess the performance of mainstream LLMs in public s…