Preprint

Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking

Yuyao Ge, Shenghua Liu, Yiwei Wang, Lingrui Mei, Lizhe Chen, Baolong Bi, Xueqi Cheng

Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models

Baolong Bi, Shenghua Liu, Yiwei Wang, Yilong Xu, Junfeng Fang, Lingrui Mei, Xueqi Cheng

"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak

Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng

HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router

Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Ruibin Yuan, Xueqi Cheng

SLANG: New Concept Comprehension of Large Language Models

Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Chen

StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models

Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Junfeng Fang, Xueqi Cheng

Fast Searching The Densest Subgraph And Decomposition With Local Optimality

Yugao Zhu, Shenghua Liu, Wenjie Feng, Xueqi Cheng

Learning node embeddings via summary graphs: a brief theoretical analysis

Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng

MonLAD: Money Laundering Agents Detection in Transaction Streams

Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng

Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors

Quan Ding, Shenghua Liu, Bin Zhou, Huawei Shen, Xueqi Cheng