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)

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)

GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision. - Zehao Li; Wenwei Han; Yujun Cai; Hao Jiang 013; Baolong Bi; Shuqin Gao; Honglong Zhao; Zhaoqi Wang (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)

Neuron-Level Sequential Editing for Large Language Models. - Houcheng Jiang; Junfeng Fang; Tianyu Zhang; Baolong Bi; An Zhang 003; Ruipeng Wang; Tao Liang; Xiang Wang 010 (ACL (1), 2025)

Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception. - Shiyu Ni; Keping Bi; Jiafeng Guo; Lulu Yu; Baolong Bi; Xueqi Cheng (ACL (1), 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)

ALiiCE: Evaluating Positional Fine-grained Citation Generation. - Yilong Xu; Jinhua Gao; Xiaoming Yu; Baolong Bi; Huawei Shen; Xueqi Cheng (NAACL (Long Papers), 2025)

Explainable and Efficient Editing for Large Language Models. - Tianyu Zhang; Junfeng Fang; Houcheng Jiang; Baolong Bi; Xiang Wang 010; Xiangnan He 001 (WWW, 2025)

Reinforced Lifelong Editing for Language Models. - Zherui Li 001; Houcheng Jiang; Hao Chen; Baolong Bi; Zhenhong Zhou; Fei Sun; Junfeng Fang; Xiang Wang 010 (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)

Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation. - Hongcheng Gao; Jiashu Qu; Jingyi Tang; Baolong Bi; Yue Liu; Hongyu Chen; Li Liang; Li Su 003; Qingming Huang (CoRR, 2025)

Efficient Inference for Large Reasoning Models: A Survey. - Yue Liu 008; Jiaying Wu; Yufei He; Hongcheng Gao; Hongyu Chen; Baolong Bi; Jiaheng Zhang; Zhiqi Huang; Bryan Hooi (CoRR, 2025)

Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models. - Yilong Xu; Jinhua Gao; Xiaoming Yu; Yuanhai Xue; Baolong Bi; Huawei Shen; 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)

STDR: Spatio-Temporal Decoupling for Real-Time Dynamic Scene Rendering. - Zehao Li; Hao Jiang 013; Yujun Cai; Jianing Chen; Baolong Bi; Shuqin Gao; Honglong Zhao; Yiwei Wang 001; Tianlu Mao; Zhaoqi Wang (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)

Beyond Policy Optimization: A Data Curation Flywheel for Sparse-Reward Long-Horizon Planning. - Yutong Wang 003; Pengliang Ji; Kaixin Li; Baolong Bi; Tao Feng; Guillaume Sartoretti (CoRR, 2025)