Lingrui Mei

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Link Prediction

Test Collection

Document Retrieval

Top Venues

Neural Networks

Publications

Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Chen
Scalable Link Prediction on Large-Scale Heterogeneous Graphs with Large Language Models. CoRR (2024)
Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Pengliang Ji, Xueqi Cheng
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts. CoRR (2024)
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark. CoRR (2024)
Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng
"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. CoRR (2024)
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. CoRR (2024)
Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Chen
SLANG: New Concept Comprehension of Large Language Models. CoRR (2024)
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng
LPNL: Scalable Link Prediction with Large Language Models. ACL (Findings) (2024)
Yuyao Ge, Shenghua Liu, Lingrui Mei, Lizhe Chen, Xueqi Cheng
Sequential Ordering in Textual Descriptions: Impact on Spatial Perception Abilities of Large Language Models. CoRR (2024)
Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu
Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation. Neural Networks 145 (2022)
Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation. CoRR (2020)
Lingrui Mei, Xuming Ran, Jin Hu
Weakly Supervised Attention Inference Generative Adversarial Network for Text-to-Image. SSCI (2019)