Baolong Bi

According to our database, Baolong Bi authored at least 32 papers between 2024 and 2025.

Collaborative distances:

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

2025

Beyond Policy Optimization: A Data Curation Flywheel for Sparse-Reward Long-Horizon Planning.

Yutong Wang, Pengliang Ji, Kaixin Li, Baolong Bi, Tao Feng, Guillaume Sartoretti

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

STDR: Spatio-Temporal Decoupling for Real-Time Dynamic Scene Rendering.

Zehao Li, Hao Jiang, Yujun Cai, Jianing Chen, Baolong Bi, Shuqin Gao, Honglong Zhao, Yiwei Wang, Tianlu Mao, Zhaoqi Wang

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

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, April, 2025

Efficient Inference for Large Reasoning Models: A Survey.

Yue Liu, Jiaying Wu, Yufei He, Hongcheng Gao, Hongyu Chen, Baolong Bi, Jiaheng Zhang, Zhiqi Huang, Bryan Hooi

CoRR, March, 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, Qingming Huang

CoRR, March, 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

Reinforced Lifelong Editing for Language Models.

Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang

CoRR, February, 2025

Explainable and Efficient Editing for Large Language Models.

Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Baolong Bi, Xiang Wang, Xiangnan He

Proceedings of the ACM on Web Conference 2025, 2025

ALiiCE: Evaluating Positional Fine-grained Citation Generation.

Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception.

Shiyu Ni, Keping Bi, Jiafeng Guo, Lulu Yu, Baolong Bi, Xueqi Cheng

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

Neuron-Level Sequential Editing for Large Language Models.

Houcheng Jiang, Junfeng Fang, Tianyu Zhang, Baolong Bi, An Zhang, Ruipeng Wang, Tao Liang, Xiang Wang

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

GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision.

Zehao Li, Wenwei Han, Yujun Cai, Hao Jiang, Baolong Bi, Shuqin Gao, Honglong Zhao, Zhaoqi Wang

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

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