Publications

2025

• Yilong Xu, Jinhua Gao, Xiaoming Yu, Yuanhai Xue, Baolong Bi, Huawei Shen, Xueqi Cheng. Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models. arxiv paper

• Yue Liu, Jiaying Wu, Yufei He, Hongcheng Gao, Hongyu Chen, Baolong Bi, Jiaheng Zhang, Zhiqi Huang, Bryan Hooi. Efficient Inference for Large Reasoning Models: A Survey. arxiv paper

• Hongcheng Gao, Jiashu Qu, Jingyi Tang, Baolong Bi, Yue Liu, Hongyu Chen, Li Liang, Li Su, Qingming Huang. Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation. arxiv paper huggingface github

• Yuyao Ge, Shenghua Liu, Yiwei Wang, Lingrui Mei, Lizhe Chen, Baolong Bi, Xueqi Cheng. Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking. arxiv paper

• Baolong Bi, Shenghua Liu, Yiwei Wang, Yilong Xu, Junfeng Fang, Lingrui Mei, Xueqi Cheng. Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models. arxiv paper

• Shiyu Ni, Keping Bi, Jiafeng Guo, Lulu Yu, Baolong Bi, Xueqi Cheng. Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception. [arxiv] [paper]

• Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang. Reinforced Lifelong Editing for Language Models. [arxiv] [paper]

• Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Baolong Bi, Xiang Wang, Xiangnan He. Explainable and Efficient Editing for Large Language Models. [arxiv] [paper]

2024

• Baolong Bi, Shaohan Huang, Yiwei Wang, Tianchi Yang, Zihan Zhang, Haizhen Huang, Lingrui Mei, Junfeng Fang, Zehao Li, Furu Wei. Context-DPO: Aligning Language Models for Context-Faithfulness. [page] [arxiv] [paper]

• Zehao Li, Wenwei Han, Yujun Cai, Hao Jiang, Baolong Bi, Shuqin Gao, Honglong Zhao, Zhaoqi Wang. GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision. [arxiv] [paper]

• Yuyao Ge, Shenghua Liu, Baolong Bi, Yiwei Wang, Lingrui Mei, Wenjie Feng, Lizhe Chen, Xueqi Cheng. Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?. [arxiv] [paper]

• Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Ruibin Yuan, Xueqi Cheng. HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router. [arxiv] [paper]

• Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Junfeng Fang, Xueqi Cheng. StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models. [arxiv] [paper]

• Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng. ALiiCE: Evaluating Positional Fine-grained Citation Generation. [arxiv] [paper]

• Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng. Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. [arxiv] [paper]

• 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. [arxiv] [paper]

• Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Pengliang Ji, Xueqi Cheng. Decoding by Contrasting Knowledge: Enhancing LLMs’ Confidence on Edited Facts. [page] [arxiv] [paper]

• Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng. Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness. [arxiv] [paper]

• Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng. LPNL: Scalable Link Prediction with Large Language Models. [arxiv] [paper]

• Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng. SLANG: New Concept Comprehension of Large Language Models. [arxiv] [paper]