Lingrui Mei

According to our database, Lingrui Mei authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

"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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Context-DPO: Aligning Language Models for Context-Faithfulness.

Baolong Bi, Shaohan Huang, Yiwei Wang, Tianchi Yang, Zihan Zhang, Haizhen Huang, Lingrui Mei, Junfeng Fang, Zehao Li, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Shenghua Liu

CoRR, 2024

You Know What I'm Saying: Jailbreak Attack via Implicit Reference.

Tianyu Wu, Lingrui Mei, Ruibin Yuan, Lujun Li, Wei Xue, Yike Guo

CoRR, 2024

HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router.

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

CoRR, 2024

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

CoRR, 2024

"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

CoRR, 2024

Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts.

Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Pengliang Ji, Xueqi Cheng

CoRR, 2024

Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark.

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

CoRR, 2024

Graph Descriptive Order Improves Reasoning with Large Language Model.

Yuyao Ge, Shenghua Liu, Wenjie Feng, Lingrui Mei, Lizhe Chen, Xueqi Cheng

CoRR, 2024

Scalable Link Prediction on Large-Scale Heterogeneous Graphs with Large Language Models.

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

CoRR, 2024

SLANG: New Concept Comprehension of Large Language Models.

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

CoRR, 2024

SLANG: New Concept Comprehension of Large Language Models.

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities.

Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LPNL: Scalable Link Prediction with Large Language Models.

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2022

Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation.

Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu

Neural Networks, 2022

2019

Weakly Supervised Attention Inference Generative Adversarial Network for Text-to-Image.

Lingrui Mei, Xuming Ran, Jin Hu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019