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2020 – today
- 2025
[c13]Hui Huang, Xingyuan Bu, Hongli Zhou, Yingqi Qu, Jing Liu, Muyun Yang, Bing Xu, Tiejun Zhao:
An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4. ACL (Findings) 2025: 5880-5895- [c12]Yancheng He, Shilong Li, Jiaheng Liu, Weixun Wang, Xingyuan Bu, Ge Zhang, Z. Y. Peng, Zhaoxiang Zhang, Zhicheng Zheng, Wenbo Su, Bo Zheng:
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? ACL (1) 2025: 18468-18489 - [c11]Yancheng He, Shilong Li, Jiaheng Liu, Yingshui Tan, Weixun Wang, Hui Huang, Xingyuan Bu, Hangyu Guo, Chengwei Hu, Boren Zheng, Zhuoran Lin, Dekai Sun, Zhicheng Zheng, Wenbo Su, Bo Zheng:
Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. ACL (1) 2025: 19182-19208 - [c10]Shilong Li, Yancheng He, Hui Huang, Xingyuan Bu, Jiaheng Liu, Hangyu Guo, Weixun Wang, Jihao Gu, Wenbo Su, Bo Zheng:
2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision. NAACL (Findings) 2025: 8149-8173 - [c9]Jianyu Liu, Hangyu Guo, Ranjie Duan, Xingyuan Bu, Yancheng He, Shilong Li, Hui Huang, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Pei Wang, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu:
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models. NAACL (Long Papers) 2025: 12097-12118 - [i22]Yingshui Tan, Yilei Jiang, Yanshi Li, Jiaheng Liu, Xingyuan Bu, Wenbo Su, Xiangyu Yue, Xiaoyong Zhu, Bo Zheng:
Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models. CoRR abs/2502.11555 (2025) - [i21]M.-A-P. Team, Xinrun Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng, Kang Zhu, Minghao Liu, Yiming Liang, Xiaolong Jin, Zhenlin Wei, Chujie Zheng, Kaixin Deng, Shian Jia, Sichao Jiang, Yiyan Liao
, Rui Li, Qinrui Li, Sirun Li, Yizhi Li, Yunwen Li, Dehua Ma, Yuansheng Ni, Haoran Que, Qiyao Wang, Zhoufutu Wen, Siwei Wu, Tianshun Xing, Ming Xu, Zhenzhu Yang, Zekun Moore Wang, Jun Zhou, Yuelin Bai, Xingyuan Bu, Chenglin Cai, Liang Chen, Yifan Chen, Chengtuo Cheng, Tianhao Cheng, Keyi Ding, Siming Huang, Yun Huang, Yaoru Li, Yizhe Li, Zhaoqun Li, Tianhao Liang, Chengdong Lin, Hongquan Lin, Yinghao Ma, Tianyang Pang, Zhongyuan Peng, Zifan Peng, Qige Qi, Shi Qiu, Xingwei Qu, Shanghaoran Quan, Yizhou Tan, Zili Wang, Chenqing Wang, Hao Wang, Yiya Wang, Yubo Wang, Jiajun Xu, Kexin Yang, Ruibin Yuan, Yuanhao Yue, Tianyang Zhan, Chun Zhang, Jinyang Zhang, Xiyue Zhang, Xingjian Zhang, Yue Zhang, Yongchi Zhao, Xiangyu Zheng, Chenghua Zhong, Yang Gao, Zhoujun Li, Dayiheng Liu, Qian Liu, Tianyu Liu, Shiwen Ni, Junran Peng, Yujia Qin, Wenbo Su, Guoyin Wang, Shi Wang, Jian Yang, Min Yang, Meng Cao, Xiang Yue, Zhaoxiang Zhang, Wangchunshu Zhou, Jiaheng Liu, Qunshu Lin, Wenhao Huang, Ge Zhang:
SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines. CoRR abs/2502.14739 (2025) - [i20]Yancheng He, Shilong Li, Jiaheng Liu, Weixun Wang, Xingyuan Bu, Ge Zhang, Zhongyuan Peng, Zhaoxiang Zhang, Zhicheng Zheng, Wenbo Su, Bo Zheng:
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? CoRR abs/2502.19361 (2025) - [i19]M.-A-P. Team, Siwei Wu, Jincheng Ren, Xinrun Du, Shuyue Guo, Xingwei Qu, Yiming Liang, Jie Liu, Yunwen Li, Tianyu Zheng, Boyu Feng, Huaqing Yuan, Zenith Wang, Jiaheng Liu, Wenhao Huang, Chenglin Cai, Haoran Que, Jian Yang, Yuelin Bai, Zekun Moore Wang, Zhouliang Yu, Qunshu Lin, Ding Pan, Yuchen Jiang, Tiannan Wang, Wangchunshu Zhou, Shenzhi Wang, Xingyuan Bu, Minghao Liu, Guoyin Wang, Ge Zhang, Chenghua Lin:
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values. CoRR abs/2504.05535 (2025) - [i18]Jianyu Liu, Hangyu Guo, Ranjie Duan, Xingyuan Bu, Yancheng He, Shilong Li, Hui Huang, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Yingshui Tan, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu:
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models. CoRR abs/2504.18053 (2025) - [i17]Jiajun Shi, Jian Yang, Jiaheng Liu, Xingyuan Bu, Jiangjie Chen, Junting Zhou, Kaijing Ma, Zhoufutu Wen, Bingli Wang, Yancheng He, Liang Song, Hualei Zhu, Shilong Li, Xingjian Wang, Wei Zhang, Ruibin Yuan, Yifan Yao, Wenjun Yang, Yunli Wang, Siyuan Fang, Siyu Yuan, Qianyu He, Xiangru Tang, Yingshui Tan, Wangchunshu Zhou, Zhaoxiang Zhang, Zhoujun Li, Wenhao Huang, Ge Zhang:
KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation. CoRR abs/2505.14552 (2025) - 2024
- [j4]Cong Pan, Junran Peng, Xingyuan Bu, Zhaoxiang Zhang:
Large-Scale Object Detection in the Wild With Imbalanced Data Distribution, and Multi-Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9255-9271 (2024) - [c8]Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, Zhiqi Bai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng:
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models. ACL (Findings) 2024: 6815-6839 - [c7]Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang:
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. ACL (1) 2024: 7421-7454 - [c6]Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng:
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. EMNLP (Findings) 2024: 12758-12786 - [c5]Jiaheng Liu, Zehao Ni, Haoran Que, Tao Sun, Noah Wang, Jian Yang, Jiakai Wang, Hongcheng Guo, Zhongyuan Peng, Ge Zhang, Jiayi Tian, Xingyuan Bu, Ke Xu, Wenge Rong, Junran Peng, Zhaoxiang Zhang:
RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts. NeurIPS 2024 - [i16]Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, Zhiqi Bai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng:
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models. CoRR abs/2402.14660 (2024) - [i15]Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang:
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. CoRR abs/2402.14762 (2024) - [i14]Jie Liu, Zhanhui Zhou, Jiaheng Liu, Xingyuan Bu, Chao Yang, Hansen Zhong, Wanli Ouyang:
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level. CoRR abs/2406.11817 (2024) - [i13]Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng:
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. CoRR abs/2406.14550 (2024) - [i12]Yixin Jin, Wenjing Zhou, Meiqi Wang, Meng Li, Xintao Li, Tianyu Hu, Xingyuan Bu:
Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fields. CoRR abs/2406.18311 (2024) - [i11]Shilong Li, Yancheng He, Hui Huang, Xingyuan Bu, Jiaheng Liu, Hangyu Guo, Weixun Wang, Jihao Gu, Wenbo Su, Bo Zheng:
2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision. CoRR abs/2410.19720 (2024) - [i10]Yanshi Li, Shaopan Xiong, Gengru Chen, Xiaoyang Li, Yijia Luo, Xingyao Zhang, Yanhui Huang, Xingyuan Bu, Yingshui Tan, Chun Yuan, Jiamang Wang, Wenbo Su, Bo Zheng:
Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment. CoRR abs/2411.00809 (2024) - [i9]Yancheng He, Shilong Li, Jiaheng Liu, Yingshui Tan, Weixun Wang, Hui Huang, Xingyuan Bu, Hangyu Guo, Chengwei Hu, Boren Zheng, Zhuoran Lin, Xuepeng Liu, Dekai Sun, Shirong Lin, Zhicheng Zheng, Xiaoyong Zhu, Wenbo Su, Bo Zheng:
Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. CoRR abs/2411.07140 (2024) - 2023
- [j3]Junran Peng, Qing Chang, Haoran Yin, Xingyuan Bu, Jiajun Sun, Lingxi Xie, Xiaopeng Zhang, Qi Tian, Zhaoxiang Zhang:
GAIA-Universe: Everything is Super-Netify. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11856-11868 (2023) - 2022
- [c4]Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan Bu, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
Visual Encoding and Debiasing for CTR Prediction. CIKM 2022: 4615-4619 - [i8]Weixin Feng, Xingyuan Bu, Chenchen Zhang, Xubin Li:
Beyond Bounding Box: Multimodal Knowledge Learning for Object Detection. CoRR abs/2205.04072 (2022) - [i7]Si Chen, Chen Lin, Wanxian Guan, Jiayi Wei, Xingyuan Bu, He Guo, Hui Li, Xubin Li, Jian Xu, Bo Zheng:
Visual Encoding and Debiasing for CTR Prediction. CoRR abs/2205.04168 (2022) - 2021
- [c3]Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang:
GAIA: A Transfer Learning System of Object Detection That Fits Your Needs. CVPR 2021: 274-283 - [i6]Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang:
GAIA: A Transfer Learning System of Object Detection that Fits Your Needs. CoRR abs/2106.11346 (2021) - 2020
- [c2]Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan:
Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels. CVPR 2020: 9706-9715 - [i5]Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan:
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels. CoRR abs/2005.08455 (2020) - [i4]Matthieu Lin, Chuming Li, Xingyuan Bu, Ming Sun, Chen Lin, Junjie Yan, Wanli Ouyang, Zhidong Deng:
DETR for Pedestrian Detection. CoRR abs/2012.06785 (2020)
2010 – 2019
- 2019
- [j2]Xingyuan Bu, Yuwei Wu, Zhi Gao, Yunde Jia:
Deep convolutional network with locality and sparsity constraints for texture classification. Pattern Recognit. 91: 34-46 (2019) - [j1]Zhi Gao, Yuwei Wu, Xingyuan Bu, Tan Yu, Junsong Yuan, Yunde Jia:
Learning a robust representation via a deep network on symmetric positive definite manifolds. Pattern Recognit. 92: 1-12 (2019) - [i3]Xingyuan Bu, Junran Peng, Changbao Wang, Cunjun Yu, Guoliang Cao:
Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019. CoRR abs/1910.12044 (2019) - 2018
- [i2]Yuan Gao, Xingyuan Bu, Yang Hu, Hui Shen, Ti Bai, Xubin Li, Shilei Wen:
Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance. CoRR abs/1810.06208 (2018) - 2017
- [i1]Zhi Gao, Yuwei Wu, Xingyuan Bu, Yunde Jia:
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds. CoRR abs/1711.06540 (2017) - 2016
- [c1]Xingyuan Bu, Mingtao Pei, Yunde Jia:
Attention Estimation for Input Switch in Scalable Multi-display Environments. ICONIP (4) 2016: 329-336
Coauthor Index
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