Wenbo Su

According to our database, Wenbo Su authored at least 86 papers between 2014 and 2026.

Collaborative distances:

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

2026

YOCO++: Enhancing YOCO with KV Residual Connections for Efficient LLM Inference.

You Wu, Ziheng Chen, Yizhen Zhang, Haoyi Wu, Chengting Yu, Yuchi Xu, Wenbo Su, Bo Zheng, Kewei Tu

CoRR, April, 2026

PoC: Performance-oriented Context Compression for Large Language Models via Performance Prediction.

Runsong Zhao, Shilei Liu, Jiwei Tang, Langming Liu, Haibin Chen, Weidong Zhang, Yujin Yuan, Tong Xiao, Jingbo Zhu, Wenbo Su, Bo Zheng

CoRR, March, 2026

Complementary Reinforcement Learning.

Dilxat Muhtar, Jiashun Liu, Wei Gao, Weixun Wang, Shaopan Xiong, Ju Huang, Siran Yang, Wenbo Su, Jiamang Wang, Ling Pan, Bo Zheng

CoRR, March, 2026

Expert Divergence Learning for MoE-based Language Models.

Jiaang Li, Haibin Chen, Langming Liu, Yujin Yuan, Yadao Wang, Yizhen Zhang, Chengting Yu, Xin Tong, Weidong Zhang, Shilei Liu, Wenbo Su, Bo Zheng

CoRR, March, 2026

SpiralFormer: Looped Transformers Can Learn Hierarchical Dependencies via Multi-Resolution Recursion.

Chengting Yu, Xiaobo Shu, Yadao Wang, Yizhen Zhang, Haoyi Wu, You Wu, Rujiao Long, Ziheng Chen, Yuchi Xu, Wenbo Su, Bo Zheng

CoRR, February, 2026

Dissecting Outlier Dynamics in LLM NVFP4 Pretraining.

Peijie Dong, Ruibo Fan, Yuechen Tao, Di Mou, Wenhu Hu, Zhenheng Tang, Yinghao Yu, Jiamang Wang, Wenbo Su, Guodong Yang, Liping Zhang, Xiaowen Chu, Baochun Li, Bo Li

CoRR, February, 2026

PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning.

Langming Liu, Kangtao Lv, Haibin Chen, Weidong Zhang, Yejing Wang, Shilei Liu, Xin Tong, Yujin Yuan, Yongwei Wang, Wenbo Su, Bo Zheng

CoRR, February, 2026

Read As Human: Compressing Context via Parallelizable Close Reading and Skimming.

Jiwei Tang, Shilei Liu, Zhicheng Zhang, Qingsong Lv, Runsong Zhao, Tingwei Lu, Langming Liu, Haibin Chen, Yujin Yuan, Hai-Tao Zheng, Wenbo Su, Bo Zheng

CoRR, February, 2026

Data Distribution Matters: A Data-Centric Perspective on Context Compression for Large Language Model.

Kangtao Lv, Jiwei Tang, Langming Liu, Haibin Chen, Weidong Zhang, Shilei Liu, Yongwei Wang, Yujin Yuan, Wenbo Su, Bo Zheng

CoRR, February, 2026

CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling.

Runsong Zhao, Shilei Liu, Jiwei Tang, Langming Liu, Haibin Chen, Weidong Zhang, Yujin Yuan, Tong Xiao, Jingbo Zhu, Wenbo Su, Bo Zheng

CoRR, February, 2026

COMI: Coarse-to-fine Context Compression via Marginal Information Gain.

Jiwei Tang, Shilei Liu, Zhicheng Zhang, Yujin Yuan, Libin Zheng, Wenbo Su, Bo Zheng

CoRR, February, 2026

CE-RM: A Pointwise Generative Reward Model Optimized via Two-Stage Rollout and Unified Criteria.

Xinyu Hu, Yancheng He, Weixun Wang, Tao Feng, Li Lin, Jiashun Liu, Wenbo Su, Bo Zheng, Xiaojun Wan

CoRR, January, 2026

ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants.

Pei Wang, Yanan Wu, Xiaoshuai Song, Weixun Wang, Gengru Chen, Zhongwen Li, Kezhong Yan, Ken Deng, Qi Liu, Shuaibing Zhao, Shaopan Xiong, Xuepeng Liu, Xuefeng Chen, Wanxi Deng, Wenbo Su, Bo Zheng

CoRR, January, 2026

One Sample to Rule Them All: Extreme Data Efficiency in RL Scaling.

Yiyuan Li, Zhen Huang, Yanan Wu, Wei Wang, Xuefeng Li, Yijia Luo, Wenbo Su, Bo Zheng, Pengfei Liu

CoRR, January, 2026

Logics-STEM: Empowering LLM Reasoning via Failure-Driven Post-Training and Document Knowledge Enhancement.

Mingyu Xu, Cheng Fang, Keyue Jiang, Yuqian Zheng, Yanghua Xiao, Baojian Zhou, Qifang Zhao, Suhang Zheng, Xiuwen Zhu, Jiyang Tang, Yongchi Zhao, Yijia Luo, Zhiqi Bai, Yuchi Xu, Wenbo Su, Wei Wang, Bing Zhao, Lin Qu, Xiaoxiao Xu

CoRR, January, 2026

NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations.

Yejing Wang, Shengyu Zhou, Jinyu Lu, Ziwei Liu, Langming Liu, Maolin Wang, Wenlin Zhang, Feng Li, Wenbo Su, Pengjie Wang, Jian Xu, Xiangyu Zhao

Proceedings of the ACM Web Conference 2026, 2026

Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model.

Bencheng Yan, Shilei Liu, Zhiyuan Zeng, Zihao Wang, Yizhen Zhang, Yujin Yuan, Langming Liu, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

RollPacker: Taming Long-Tail Rollouts for RL Post-Training with Tail Batching.

Wei Gao, Yuheng Zhao, Dakai An, Tianyuan Wu, Lunxi Cao, Shaopan Xiong, Ju Huang, Weixun Wang, Siran Yang, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng, Wei Wang

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

Think-J: Learning to Think for Generative LLM-as-a-Judge.

Hui Huang, Yancheng He, Hongli Zhou, Rui Zhang, Wei Liu, Weixun Wang, Jiaheng Liu, Wenbo Su

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

RollArt: Scaling Agentic RL Training via Disaggregated Infrastructure.

Wei Gao, Yuheng Zhao, Tianyuan Wu, Shaopan Xiong, Weixun Wang, Dakai An, Lunxi Cao, Dilxat Muhtar, Zichen Liu, Haizhou Zhao, Ju Huang, Siran Yang, Yongbin Li, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng, Wei Wang

CoRR, December, 2025

Reasoning Palette: Modulating Reasoning via Latent Contextualization for Controllable Exploration for (V)LMs.

Rujiao Long, Yang Li, Xingyao Zhang, Weixun Wang, Tianqianjin Lin, Xi Zhao, Yuchi Xu, Wenbo Su, Junchi Yan, Bo Zheng

CoRR, December, 2025

Reconstructing KV Caches with Cross-layer Fusion For Enhanced Transformers.

Hongzhan Lin, Zhiqi Bai, Xinmiao Zhang, Sen Yang, Xiang Li, Siran Yang, Yunlong Xu, Jiaheng Liu, Yongchi Zhao, Jiamang Wang, Yuchi Xu, Wenbo Su, Bo Zheng

CoRR, December, 2025

BARD: budget-aware reasoning distillation.

Lujie Niu, Lei Shen, Yi Jiang, Caixia Yuan, Xiaojie Wang, Wenbo Su, Bo Zheng

CoRR, November, 2025

RAVR: Reference-Answer-guided Variational Reasoning for Large Language Models.

Tianqianjin Lin, Xi Zhao, Xingyao Zhang, Rujiao Long, Yi Xu, Zhuoren Jiang, Wenbo Su, Bo Zheng

CoRR, October, 2025

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization.

Yang Li, Zhichen Dong, Yuhan Sun, Weixun Wang, Shaopan Xiong, Yijia Luo, Jiashun Liu, Han Lu, Jiamang Wang, Wenbo Su, Bo Zheng, Junchi Yan

CoRR, October, 2025

Part II: ROLL Flash - Accelerating RLVR and Agentic Training with Asynchrony.

Han Lu, Zichen Liu, Shaopan Xiong, Yancheng He, Wei Gao, Yanan Wu, Weixun Wang, Jiashun Liu, Yang Li, Haizhou Zhao, Ju Huang, Siran Yang, Xiaoyang Li, Yijia Luo, Zihe Liu, Ling Pan, Junchi Yan, Wei Wang, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng

CoRR, October, 2025

QAgent: A modular Search Agent with Interactive Query Understanding.

Yi Jiang, Lei Shen, Lujie Niu, Sendong Zhao, Wenbo Su, Bo Zheng

CoRR, October, 2025

MeSH: Memory-as-State-Highways for Recursive Transformers.

Chengting Yu, Xiaobo Shu, Yadao Wang, Yizhen Zhang, Haoyi Wu, Jiaang Li, Rujiao Long, Ziheng Chen, Yuchi Xu, Wenbo Su, Bo Zheng

CoRR, October, 2025

Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning.

Jiashun Liu, Johan S. Obando-Ceron, Han Lu, Yancheng He, Weixun Wang, Wenbo Su, Bo Zheng, Pablo Samuel Castro, Aaron C. Courville, Ling Pan

CoRR, October, 2025

RollPacker: Mitigating Long-Tail Rollouts for Fast, Synchronous RL Post-Training.

Wei Gao, Yuheng Zhao, Dakai An, Tianyuan Wu, Lunxi Cao, Shaopan Xiong, Ju Huang, Weixun Wang, Siran Yang, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng, Wei Wang

CoRR, September, 2025

DESIGNER: Design-Logic-Guided Multidisciplinary Data Synthesis for LLM Reasoning.

Weize Liu, Yongchi Zhao, Yijia Luo, Mingyu Xu, Jiaheng Liu, Yanan Li, Xiguo Hu, Yuchi Xu, Wenbo Su, Bo Zheng

CoRR, August, 2025

Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning.

Zihe Liu, Jiashun Liu, Yancheng He, Weixun Wang, Jiaheng Liu, Ling Pan, Xinyu Hu, Shaopan Xiong, Ju Huang, Jian Hu, Shengyi Huang, Siran Yang, Jiamang Wang, Wenbo Su, Bo Zheng

CoRR, August, 2025

RecGPT Technical Report.

Chao Yi, Dian Chen, Gaoyang Guo, Jiakai Tang, Jian Wu, Jing Yu, Mao Zhang, Sunhao Dai, Wen Chen, Wenjun Yang, Yuning Jiang, Zhujin Gao, Bo Zheng, Chi Li, Dimin Wang, Dixuan Wang, Fan Li, Fan Zhang, Haibin Chen, Haozhuang Liu, Jialin Zhu, Jiamang Wang, Jiawei Wu, Jin Cui, Ju Huang, Kai Zhang, Kan Liu, Lang Tian, Liang Rao, Longbin Li, Lulu Zhao, Na He, Peiyang Wang, Qiqi Huang, Tao Luo, Wenbo Su, Xiaoxiao He, Xin Tong, Xu Chen, Xunke Xi, Yang Li, Yaxuan Wu, Yeqiu Yang, Yi Hu, Yinnan Song, Yuchen Li, Yujie Luo, Yujin Yuan, Yuliang Yan, Zhengyang Wang, Zhibo Xiao, Zhixin Ma, Zile Zhou, Ziqi Zhang

CoRR, July, 2025

Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics.

Hongyu Nie, Xingyu Li, Xu Liu, Zhaotong Tan, Sen Mei, Wenbo Su

CoRR, July, 2025

Comparative Analysis and Optimization of Magnetic Field Energy Harvesters Based on Split Three-Phase Power Line Joint Energy Harvesting.

Chenjin Xu, Wei Wang, Yuchen Shi, Wenbo Su, Minqiang Hu

IEEE Trans. Ind. Informatics, June, 2025

Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems.

Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Zhao-Xiang Zhang

CoRR, June, 2025

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library.

Weixun Wang, Shaopan Xiong, Gengru Chen, Wei Gao, Sheng Guo, Yancheng He, Ju Huang, Jiaheng Liu, Zhendong Li, Xiaoyang Li, Zichen Liu, Haizhou Zhao, Dakai An, Lunxi Cao, Qiyang Cao, Wanxi Deng, Feilei Du, Yiliang Gu, Jiahe Li, Xiang Li, Mingjie Liu, Yijia Luo, Zihe Liu, Yadao Wang, Pei Wang, Tianyuan Wu, Yanan Wu, Yuheng Zhao, Shuaibing Zhao, Jin Yang, Siran Yang, Yingshui Tan, Huimin Yi, Yuchi Xu, Yujin Yuan, Xingyao Zhang, Lin Qu, Wenbo Su, Wei Wang, Jiamang Wang, Bo Zheng

CoRR, June, 2025

USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models.

Baolin Zheng, Guanlin Chen, Hongqiong Zhong, Qingyang Teng, Yingshui Tan, Zhendong Liu, Weixun Wang, Jiaheng Liu, Jian Yang, Huiyun Jing, Jincheng Wei, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang

CoRR, May, 2025

Weight Spectra Induced Efficient Model Adaptation.

Chongjie Si, Xuankun Yang, Muqing Liu, Yadao Wang, Xiaokang Yang, Wenbo Su, Bo Zheng, Wei Shen

CoRR, May, 2025

Beyond Safe Answers: A Benchmark for Evaluating True Risk Awareness in Large Reasoning Models.

Baihui Zheng, Boren Zheng, Kerui Cao, Yingshui Tan, Zhendong Liu, Weixun Wang, Jiaheng Liu, Jian Yang, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang

CoRR, May, 2025

NAN: A Training-Free Solution to Coefficient Estimation in Model Merging.

Chongjie Si, Kangtao Lv, Jingjing Jiang, Yadao Wang, Yongwei Wang, Xiaokang Yang, Wenbo Su, Bo Zheng, Wei Shen

CoRR, May, 2025

Think-J: Learning to Think for Generative LLM-as-a-Judge.

Hui Huang, Yancheng He, Hongli Zhou, Rui Zhang, Wei Liu, Weixun Wang, Wenbo Su, Bo Zheng, Jiaheng Liu

CoRR, May, 2025

A Comprehensive Survey on Long Context Language Modeling.

Jiaheng Liu, Dawei Zhu, Zhiqi Bai, Yancheng He, Huanxuan Liao, Haoran Que, Zekun Wang, Chenchen Zhang, Ge Zhang, Jiebin Zhang, Yuanxing Zhang, Zhuo Chen, Hangyu Guo, Shilong Li, Ziqiang Liu, Yong Shan, Yifan Song, Jiayi Tian, Wenhao Wu, Zhejian Zhou, Ruijie Zhu, Junlan Feng, Yang Gao, Shizhu He, Zhoujun Li, Tianyu Liu, Fanyu Meng, Wenbo Su, Yingshui Tan, Zili Wang, Jian Yang, Wei Ye, Bo Zheng, Wangchunshu Zhou, Wenhao Huang, Sujian Li, Zhaoxiang Zhang

CoRR, March, 2025

Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT Distillation.

Yijia Luo, Yulin Song, Xingyao Zhang, Jiaheng Liu, Weixun Wang, Gengru Chen, Wenbo Su, Bo Zheng

CoRR, March, 2025

ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph.

Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Zhao-Xiang Zhang, Bo Zheng

CoRR, March, 2025

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Yancheng He, Shilong Li, Jiaheng Liu, Weixun Wang, Xingyuan Bu, Ge Zhang, Zhongyuan Peng, Zhaoxiang Zhang, Zhicheng Zheng, Wenbo Su, Bo Zheng

CoRR, February, 2025

AIR: Complex Instruction Generation via Automatic Iterative Refinement.

Wei Liu, Yancheng He, Hui Huang, Chengwei Hu, Jiaheng Liu, Shilong Li, Wenbo Su, Bo Zheng

CoRR, February, 2025

ChineseSimpleVQA - "See the World, Discover Knowledge": A Chinese Factuality Evaluation for Large Vision Language Models.

Jihao Gu, Yingyao Wang, Pi Bu, Chen Wang, Ziming Wang, Tengtao Song, Donglai Wei, Jiale Yuan, Yingxiu Zhao, Yancheng He, Shilong Li, Jiaheng Liu, Meng Cao, Jun Song, Yingshui Tan, Xiang Li, Wenbo Su, Zhicheng Zheng, Xiaoyong Zhu, Bo Zheng

CoRR, February, 2025

Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models.

Yingshui Tan, Yilei Jiang, Yanshi Li, Jiaheng Liu, Xingyuan Bu, Wenbo Su, Xiangyu Yue, Xiaoyong Zhu, Bo Zheng

CoRR, February, 2025

MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling.

Bencheng Yan, Si Chen, Shichang Jia, Jianyu Liu, Yueran Liu, Chenghan Fu, Wanxian Guan, Hui Zhao, Xiang Zhang, Kai Zhang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu

CoRR, February, 2025

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision.

Shilong Li, Yancheng He, Hui Huang, Xingyuan Bu, Jiaheng Liu, Hangyu Guo, Weixun Wang, Jihao Gu, Wenbo Su, Bo Zheng

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems.

Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Xiangyu Zhao

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering.

Langming Liu, Shilei Liu, Yujin Yuan, Yizhen Zhang, Bencheng Yan, Zhiyuan Zeng, Zihao Wang, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models.

Haibin Chen, Kangtao Lv, Chengwei Hu, Yanshi Li, Yujin Yuan, Yancheng He, Xingyao Zhang, Langming Liu, Shilei Liu, Wenbo Su, Bo Zheng

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models.

Pei Wang, Yanan Wu, Noah Wang, Jiaheng Liu, Xiaoshuai Song, Z. Y. Peng, Ken Deng, Chenchen Zhang, Jiakai Wang, Junran Peng, Ge Zhang, Hangyu Guo, Zhaoxiang Zhang, Wenbo Su, Bo Zheng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models.

Kangtao Lv, Haibin Chen, Yujin Yuan, Langming Liu, Shilei Liu, Yongwei Wang, Wenbo Su, Bo Zheng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

AIR: Complex Instruction Generation via Automatic Iterative Refinement.

Wei Liu, Yancheng He, Yu Li, Hui Huang, Chengwei Hu, Jiaheng Liu, Shilong Li, Wenbo Su, Bo Zheng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph.

Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Xiangyu Zhao, Bo Zheng

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models.

Yingshui Tan, Boren Zheng, Baihui Zheng, Kerui Cao, Huiyun Jing, Jincheng Wei, Jiaheng Liu, Yancheng He, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang

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

ProgCo: Program Helps Self-Correction of Large Language Models.

Xiaoshuai Song, Yanan Wu, Weixun Wang, Jiaheng Liu, Wenbo Su, Bo Zheng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation.

Jiaheng Liu, Ken Deng, Congnan Liu, Jian Yang, Shukai Liu, He Zhu, Peng Zhao, Linzheng Chai, Yanan Wu, Ke Jin, Ge Zhang, Zekun Moore Wang, Guoan Zhang, Yingshui Tan, Bangyu Xiang, Zhaoxiang Zhang, Wenbo Su, Bo Zheng

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

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Yancheng He, Shilong Li, Jiaheng Liu, Weixun Wang, Xingyuan Bu, Ge Zhang, Z. Y. Peng, Zhaoxiang Zhang, Zhicheng Zheng, Wenbo Su, Bo Zheng

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

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models.

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

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

See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models.

Jihao Gu, Yingyao Wang, Pi Bu, Chen Wang, Ziming Wang, Tengtao Song, Donglai Wei, Jiale Yuan, Yingxiu Zhao, Yancheng He, Shilong Li, Jiaheng Liu, Meng Cao, Jun Song, Yingshui Tan, Xiang Li, Wenbo Su, Xiaoyong Zhu, Bo Zheng

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models.

Yingshui Tan, Boren Zheng, Baihui Zheng, Kerui Cao, Huiyun Jing, Jincheng Wei, Jiaheng Liu, Yancheng He, Wenbo Su, Xiangyong Zhu, Bo Zheng, Kaifu Zhang

CoRR, 2024

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis.

Chengwei Hu, Jianhui Zheng, Yancheng He, Hangyu Guo, Junguang Jiang, Han Zhu, Kai Sun, Yuning Jiang, Wenbo Su, Bo Zheng

CoRR, 2024

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models.

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

CoRR, 2024

Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment.

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

CoRR, 2024

M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation.

Jiaheng Liu, Ken Deng, Congnan Liu, Jian Yang, Shukai Liu, He Zhu, Peng Zhao, Linzheng Chai, Yanan Wu, Ke Jin, Ge Zhang, Zekun Wang, Guoan Zhang, Bangyu Xiang, Wenbo Su, Bo Zheng

CoRR, 2024

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models.

Pei Wang, Yanan Wu, Zekun Wang, Jiaheng Liu, Xiaoshuai Song, Zhongyuan Peng, Ken Deng, Chenchen Zhang, Jiakai Wang, Junran Peng, Ge Zhang, Hangyu Guo, Zhaoxiang Zhang, Wenbo Su, Bo Zheng

CoRR, 2024

R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models.

Ken Deng, Jiaheng Liu, He Zhu, Congnan Liu, Jingxin Li, Jiakai Wang, Peng Zhao, Chenchen Zhang, Yanan Wu, Xueqiao Yin, Yuanxing Zhang, Wenbo Su, Bangyu Xiang, Tiezheng Ge, Bo Zheng

CoRR, 2024

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models.

Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang, Ge Zhang, Jiakai Wang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng

CoRR, 2024

D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models.

Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DDK: Distilling Domain Knowledge for Efficient Large Language Models.

Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models.

Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models.

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

E2-LLM: Efficient and Extreme Length Extension of Large Language Models.

Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang, Ge Zhang, Jiakai Wang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues.

Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Sensitivity Analysis of Free-Standing Columnar Magnetic Field Energy Harvester for Powering Wireless Monitoring Sensors.

Chenjin Xu, Wei Wang, Wenbo Su, Mingrong Duan, Minqiang Hu

IEEE Trans. Circuits Syst. I Regul. Pap., November, 2023

Antisaturation and Power Decoupling Control of Multiwinding Energy Harvester Based on Magnetomotive Force Compensation.

Chenjin Xu, Wei Wang, Wenbo Su, Mingrong Duan, Minqiang Hu

IEEE Trans. Ind. Informatics, October, 2023

2022

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model.

Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng

CoRR, 2022

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models.

Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2018

Visualizing and Understanding Deep Neural Networks in CTR Prediction.

Lin Guo, Hui Ye, Wenbo Su, Henhuan Liu, Kai Sun, Hang Xiang

Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

2015

SLA-Aware Tenant Placement and Dynamic Resource Provision in SaaS.

Wenbo Su, Jie Hu, Chuang Lin, Sherman X. Shen

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Modeling and Analysis of Availability in Multi-Tenant SaaS.

Wenbo Su, Qu Liu, Chuang Lin, Sherman X. Shen

Proceedings of the 24th International Conference on Computer Communication and Networks, 2015

2014

Modeling and Analysis of Availability for SaaS Multi-tenant Architecture.

Wenbo Su, Chuang Lin, Kun Meng, Qu Liu

Proceedings of the 8th IEEE International Symposium on Service Oriented System Engineering, 2014