Lingrui Mei

According to our database, Lingrui Mei authored at least 32 papers between 2019 and 2026.

Collaborative distances:

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

2026

Adaptive dendritic plasticity in brain-inspired dynamic neural networks for enhanced multi-timescale feature extraction.

Jiayi Mao, Hanle Zheng, Huifeng Yin, Hanxiao Fan, Lingrui Mei, Hao Guo, Yao Li, Jibin Wu, Jing Pei, Lei Deng

Neural Networks, 2026

2025

Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning.

Yuyao Ge, Shenghua Liu, Yiwei Wang, Lingrui Mei, Baolong Bi, Xuanshan Zhou, Jiayu Yao, Jiafeng Guo, Xueqi Cheng

CoRR, September, 2025

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning.

Runchuan Zhu, Bowen Jiang, Lingrui Mei, Fangkai Yang, Lu Wang, Haoxiang Gao, Fengshuo Bai, Pu Zhao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

CoRR, August, 2025

A Survey of Context Engineering for Large Language Models.

Lingrui Mei, Jiayu Yao, Yuyao Ge, Yiwei Wang, Baolong Bi, Yujun Cai, Jiazhi Liu, Mingyu Li, Zhong-Zhi Li, Duzhen Zhang, Chenlin Zhou, Jiayi Mao, Tianze Xia, Jiafeng Guo, Shenghua Liu

CoRR, July, 2025

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs.

Baolong Bi, Shenghua Liu, Xingzhang Ren, Dayiheng Liu, Junyang Lin, Yiwei Wang, Lingrui Mei, Junfeng Fang, Jiafeng Guo, Xueqi Cheng

CoRR, July, 2025

Rethinking All Evidence: Enhancing Trustworthy Retrieval-Augmented Generation via Conflict-Driven Summarization.

Juan Chen, Baolong Bi, Wei Zhang, Jingyan Sui, Xiaofei Zhu, Yuanzhuo Wang, Lingrui Mei, Shenghua Liu

CoRR, July, 2025

Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation.

Jiayu Yao, Shenghua Liu, Yiwei Wang, Lingrui Mei, Baolong Bi, Yuyao Ge, Zhecheng Li, Xueqi Cheng

CoRR, June, 2025

Large Language Models as Computable Approximations to Solomonoff Induction.

Jun Wan, Lingrui Mei

CoRR, May, 2025

a1: Steep Test-time Scaling Law via Environment Augmented Generation.

Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Yuyao Ge, Jun Wan, Yurong Wu, Xueqi Cheng

CoRR, April, 2025

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

CoRR, March, 2025

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

CoRR, March, 2025

YuE: Scaling Open Foundation Models for Long-Form Music Generation.

Ruibin Yuan, Hanfeng Lin, Shuyue Guo, Ge Zhang, Jiahao Pan, Yongyi Zang, Haohe Liu, Yiming Liang, Wenye Ma, Xingjian Du, Xinrun Du, Zhen Ye, Tianyu Zheng, Yinghao Ma, Minghao Liu, Zeyue Tian, Ziya Zhou, Liumeng Xue, Xingwei Qu, Yizhi Li, Shangda Wu, Tianhao Shen, Ziyang Ma, Jun Zhan, Chunhui Wang, Yatian Wang, Xiaowei Chi, Xinyue Zhang, Zhenzhu Yang, Xiangzhou Wang, Shansong Liu, Lingrui Mei, Peng Li, Junjie Wang, Jianwei Yu, Guojian Pang, Xu Li, Zihao Wang, Xiaohuan Zhou, Lijun Yu, Emmanouil Benetos, Yong Chen, Chenghua Lin, Xie Chen, Gus Xia, Zhaoxiang Zhang, Chao Zhang, Wenhu Chen, Xinyu Zhou, Xipeng Qiu, Roger B. Dannenberg, Zheng-Jia Liu, Jian Yang, Wenhao Huang, Wei Xue, Xu Tan, Yike Guo

CoRR, March, 2025

VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model.

Jiani Zheng, Lu Wang, Fangkai Yang, Chaoyun Zhang, Lingrui Mei, Wenjie Yin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

CoRR, February, 2025

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Vulnerability of Text-to-Image Models to Prompt Template Stealing: A Differential Evolution Approach.

Yurong Wu, Fangwen Mu, Qiuhong Zhang, Jinjing Zhao, Xinrun Xu, Lingrui Mei, Yang Wu, Lin Shi, Junjie Wang, Zhiming Ding, Yiwei Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts.

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

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