Weakly Supervised Attention Inference Generative Adversarial Network for Text-to-Image. - Lingrui Mei; Xuming Ran; Jin Hu (SSCI, 2019)

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)

LPNL: Scalable Link Prediction with Large Language Models. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Xueqi Cheng (ACL (Findings), 2024)

Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Hongcheng Gao; Yilong Xu; Xueqi Cheng (EMNLP (Findings), 2024)

SLANG: New Concept Comprehension of Large Language Models. - Lingrui Mei; Shenghua Liu; Yiwei Wang 001; Baolong Bi; Xueqi Cheng (EMNLP, 2024)

SLANG: New Concept Comprehension of Large Language Models. - Lingrui Mei; Shenghua Liu; Yiwei Wang 001; Baolong Bi; Xueqi Chen (CoRR, 2024)

Scalable Link Prediction on Large-Scale Heterogeneous Graphs with Large Language Models. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Xueqi Chen (CoRR, 2024)

Graph Descriptive Order Improves Reasoning with Large Language Model. - Yuyao Ge; Shenghua Liu; Wenjie Feng 001; Lingrui Mei; Lizhe Chen; Xueqi Cheng (CoRR, 2024)

Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Xueqi Cheng (CoRR, 2024)

Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts. - Baolong Bi; Shenghua Liu; Lingrui Mei; Yiwei Wang 001; Pengliang Ji; Xueqi Cheng (CoRR, 2024)

StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Hongcheng Gao; Junfeng Fang; Xueqi Cheng (CoRR, 2024)

HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router. - Lingrui Mei; Shenghua Liu; Yiwei Wang 001; Baolong Bi; Ruibin Yuan; Xueqi Cheng (CoRR, 2024)

You Know What I'm Saying: Jailbreak Attack via Implicit Reference. - Tianyu Wu; Lingrui Mei; Ruibin Yuan; Lujun Li 001; Wei Xue 002; Yike Guo (CoRR, 2024)

Context-DPO: Aligning Language Models for Context-Faithfulness. - Baolong Bi; Shaohan Huang; Yiwei Wang 001; Tianchi Yang; Zihan Zhang; Haizhen Huang; Lingrui Mei; Junfeng Fang; Zehao Li; Furu Wei; Weiwei Deng; Feng Sun 008; et al. (ACL (Findings), 2025)

Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts. - Baolong Bi; Shenghua Liu; Lingrui Mei; Yiwei Wang 001; Junfeng Fang; Pengliang Ji; Xueqi Cheng (ACL (1), 2025)

Can Graph Descriptive Order Affect Solving Graph Problems with LLMs? - Yuyao Ge; Shenghua Liu; Baolong Bi; Yiwei Wang 001; Lingrui Mei; Wenjie Feng 001; Lizhe Chen; Xueqi Cheng (ACL (1), 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 (ACL (Findings), 2025)

"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. - Lingrui Mei; Shenghua Liu; Yiwei Wang 001; Baolong Bi; Jiayi Mao; Xueqi Cheng (COLING, 2025)

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Junfeng Fang; Hongcheng Gao; Shiyu Ni; Xueqi Cheng (ICLR, 2025)

VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model. - Jiani Zheng; Lu Wang 029; Fangkai Yang; Chaoyun Zhang; Lingrui Mei; Wenjie Yin; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2025)

YuE: Scaling Open Foundation Models for Long-Form Music Generation. - Ruibin Yuan; Hanfeng Lin; Shuyue Guo; Ge Zhang 009; Jiahao Pan; Yongyi Zang; Haohe Liu; Yiming Liang; Wenye Ma; Xingjian Du; Xinrun Du; Zhen Ye; et al. (CoRR, 2025)

Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Yilong Xu; Junfeng Fang; Lingrui Mei; Xueqi Cheng (CoRR, 2025)

Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking. - Yuyao Ge; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Lizhe Chen; Baolong Bi; Xueqi Cheng (CoRR, 2025)

a1: Steep Test-time Scaling Law via Environment Augmented Generation. - Lingrui Mei; Shenghua Liu; Yiwei Wang 001; Baolong Bi; Yuyao Ge; Jun Wan; Yurong Wu; Xueqi Cheng (CoRR, 2025)

Large Language Models as Computable Approximations to Solomonoff Induction. - Jun Wan; Lingrui Mei (CoRR, 2025)

Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation. - Jiayu Yao; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Baolong Bi; Yuyao Ge; Zhecheng Li; Xueqi Cheng (CoRR, 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, 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 001; Lingrui Mei; Junfeng Fang; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

A Survey of Context Engineering for Large Language Models. - Lingrui Mei; Jiayu Yao; Yuyao Ge; Yiwei Wang 001; Baolong Bi; Yujun Cai; Jiazhi Liu; Mingyu Li; Zhong-Zhi Li; Duzhen Zhang; Chenlin Zhou; Jiayi Mao; et al. (CoRR, 2025)