Yuxin Zuo

According to our database, Yuxin Zuo authored at least 32 papers between 2023 and 2026.

Collaborative distances:

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

2026

Post-Trained MoE Can Skip Half Experts via Self-Distillation.

Xingtai Lv, Li Sheng, Kaiyan Zhang, Yichen You, Siyan Gao, Xueheng Luo, Yuxin Zuo, Yuchen Fan, Junlin Yang, Ganqu Cui, Bingning Wang, Fan Yang, Youbang Sun, Ning Ding, Bowen Zhou

CoRR, May, 2026

Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning.

Qianjia Cheng, Yuchen Zhang, Zhilin Wang, Yuxin Zuo, Shunkai Zhang, Yuchen Fan, Yu Qiao, Bowen Zhou, Ning Ding, Yu Cheng, Yun Luo, Ganqu Cui

CoRR, May, 2026

Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe.

Yaxuan Li, Yuxin Zuo, Bingxiang He, Jinqian Zhang, Chaojun Xiao, Cheng Qian, Tianyu Yu, Huan-ang Gao, Wenkai Yang, Zhiyuan Liu, Ning Ding

CoRR, April, 2026

Towards Knowledgeable Deep Research: Framework and Benchmark.

Wenxuan Liu, Zixuan Li, Long Bai, Chunmao Zhang, Fenghui Zhang, Zhuo Chen, Wei Li, Yuxin Zuo, Fei Wang, Bingbing Xu, Xuhui Jiang, Jin Zhang, Xiaolong Jin, Jiafeng Guo, Tat-Seng Chua, Xueqi Cheng

CoRR, April, 2026

TR-ICRL: Test-Time Rethinking for In-Context Reinforcement Learning.

Wenxuan Jiang, Yuxin Zuo, Zijian Zhang, Xuecheng Wu, Zining Fan, Wenxuan Liu, Li Chen, Xiaoyu Li, Xuezhi Cao, Xiaolong Jin, Ninghao Liu

CoRR, April, 2026

How Far Can Unsupervised RLVR Scale LLM Training?

Bingxiang He, Yuxin Zuo, Zeyuan Liu, Shangziqi Zhao, Zixuan Fu, Junlin Yang, Cheng Qian, Kaiyan Zhang, Yuchen Fan, Ganqu Cui, Xiusi Chen, Youbang Sun, Xingtai Lv, Xuekai Zhu, Li Sheng, Ran Li, Huan-ang Gao, Yuchen Zhang, Bowen Zhou, Zhiyuan Liu, Ning Ding

CoRR, March, 2026

WebWorld: A Large-Scale World Model for Web Agent Training.

Zikai Xiao, Jianhong Tu, Chuhang Zou, Yuxin Zuo, Zhi Li, Peng Wang, Bowen Yu, Fei Huang, Junyang Lin, Zuozhu Liu

CoRR, February, 2026

P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads.

Yun Luo, Futing Wang, Qianjia Cheng, Fangchen Yu, Haodi Lei, Jianhao Yan, Chenxi Li, Jiacheng Chen, Yufeng Zhao, Haiyuan Wan, Yuchen Zhang, Shenghe Zheng, Junchi Yao, Qingyang Zhang, Haonan He, Wenxuan Zeng, Li Sheng, Chengxing Xie, Yuxin Zuo, Yizhuo Li, Yulun Wu, Rui Huang, Dongzhan Zhou, Kai Chen, Yu Qiao, Lei Bai, Yu Cheng, Ning Ding, Bowen Zhou, Peng Ye, Ganqu Cui

CoRR, February, 2026

2025

JustRL: Scaling a 1.5B LLM with a Simple RL Recipe.

Bingxiang He, Zekai Qu, Zeyuan Liu, Yinghao Chen, Yuxin Zuo, Cheng Qian, Kaiyan Zhang, Weize Chen, Chaojun Xiao, Ganqu Cui, Ning Ding, Zhiyuan Liu

CoRR, December, 2025

Overlap-aware influence maximization with balanced replay deep Q-network.

Yuxin Zuo, Xiuqi Huang, Tiantian Wei, Jianxiong Guo, Xiaofeng Gao, Guihai Chen

Knowl. Inf. Syst., November, 2025

P1: Mastering Physics Olympiads with Reinforcement Learning.

Jiacheng Chen, Qianjia Cheng, Fangchen Yu, Haiyuan Wan, Yuchen Zhang, Shenghe Zheng, Junchi Yao, Qingyang Zhang, Haonan He, Yun Luo, Yufeng Zhao, Futing Wang, Li Sheng, Chengxing Xie, Yuxin Zuo, Yizhuo Li, Wenxauan Zeng, Yulun Wu, Rui Huang, Dongzhan Zhou, Kai Chen, Yu Qiao, Lei Bai, Yu Cheng, Ning Ding, Bowen Zhou, Peng Ye, Ganqu Cui

CoRR, November, 2025

FlowRL: Matching Reward Distributions for LLM Reasoning.

Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin

CoRR, September, 2025

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning.

Haozhan Li, Yuxin Zuo, Jiale Yu, Yuhao Zhang, Zhaohui Yang, Kaiyan Zhang, Xuekai Zhu, Yuchen Zhang, Tianxing Chen, Ganqu Cui, Dehui Wang, Dingxiang Luo, Yuchen Fan, Youbang Sun, Jia Zeng, Jiangmiao Pang, Shanghang Zhang, Yu Wang, Yao Mu, Bowen Zhou, Ning Ding

CoRR, September, 2025

A Survey of Reinforcement Learning for Large Reasoning Models.

Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru Wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou

CoRR, September, 2025

Towards a Unified View of Large Language Model Post-Training.

Xingtai Lv, Yuxin Zuo, Youbang Sun, Hongyi Liu, Yuntian Wei, Zhekai Chen, Lixuan He, Xuekai Zhu, Kaiyan Zhang, Bingning Wang, Ning Ding, Bowen Zhou

CoRR, September, 2025

SSRL: Self-Search Reinforcement Learning.

Yuchen Fan, Kaiyan Zhang, Heng Zhou, Yuxin Zuo, Yanxu Chen, Yu Fu, Xinwei Long, Xuekai Zhu, Che Jiang, Yuchen Zhang, Li Kang, Gang Chen, Cheng Huang, Zhizhou He, Bingning Wang, Lei Bai, Ning Ding, Bowen Zhou

CoRR, August, 2025

Automating Exploratory Multiomics Research via Language Models.

Shang Qu, Ning Ding, Linhai Xie, Yifei Li, Zaoqu Liu, Kaiyan Zhang, Yibai Xiong, Yuxin Zuo, Zhangren Chen, Ermo Hua, Xingtai Lv, Youbang Sun, Yang Li, Dong Li, Fuchu He, Bowen Zhou

CoRR, June, 2025

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.

Ganqu Cui, Yuchen Zhang, Jiacheng Chen, Lifan Yuan, Zhi Wang, Yuxin Zuo, Haozhan Li, Yuchen Fan, Huayu Chen, Weize Chen, Zhiyuan Liu, Hao Peng, Lei Bai, Wanli Ouyang, Yu Cheng, Bowen Zhou, Ning Ding

CoRR, May, 2025

TTRL: Test-Time Reinforcement Learning.

Yuxin Zuo, Kaiyan Zhang, Shang Qu, Li Sheng, Xuekai Zhu, Biqing Qi, Youbang Sun, Ganqu Cui, Ning Ding, Bowen Zhou

CoRR, April, 2025

Code-Vision: Evaluating Multimodal LLMs Logic Understanding and Code Generation Capabilities.

Hanbin Wang, Xiaoxuan Zhou, Zhipeng Xu, Keyuan Cheng, Yuxin Zuo, Kai Tian, Jingwei Song, Junting Lu, Wenhui Hu, Xueyang Liu

CoRR, February, 2025

How to Achieve IT-Business Fusion During Digital Transformation.

Mengling Yan, Yizhuo Fang, Yuxin Zuo

Proceedings of the 29th Pacific Asia Conference on Information Systems, 2025

TTRL: Test-Time Reinforcement Learning.

Yuxin Zuo, Kaiyan Zhang, Li Sheng, Shang Qu, Ganqu Cui, Xuekai Zhu, Haozhan Li, Yuchen Zhang, Xinwei Long, Ermo Hua, Biqing Qi, Youbang Sun, Zhiyuan Ma, Lifan Yuan, Ning Ding, Bowen Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.

Yuxin Zuo, Shang Qu, Yifei Li, Zhang-Ren Chen, Xuekai Zhu, Ermo Hua, Kaiyan Zhang, Ning Ding, Bowen Zhou

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction.

Wenxuan Liu, Zixuan Li, Long Bai, Yuxin Zuo, Daozhu Xu, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng

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

KnowCoder-X: Boosting Multilingual Information Extraction via Code.

Yuxin Zuo, Wenxuan Jiang, Wenxuan Liu, Zixuan Li, Long Bai, Hanbin Wang, Yutao Zeng, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng

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

2024

AlignXIE: Improving Multilingual Information Extraction by Cross-Lingual Alignment.

Yuxin Zuo, Wenxuan Jiang, Wenxuan Liu, Zixuan Li, Long Bai, Hanbin Wang, Yutao Zeng, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng

CoRR, 2024

Automating Exploratory Proteomics Research via Language Models.

Ning Ding, Shang Qu, Linhai Xie, Yifei Li, Zaoqu Liu, Kaiyan Zhang, Yibai Xiong, Yuxin Zuo, Zhangren Chen, Ermo Hua, Xingtai Lv, Youbang Sun, Yang Li, Dong Li, Fuchu He, Bowen Zhou

CoRR, 2024

Weather-Conditioned Multi-graph Network for Ride-Hailing Demand Forecasting.

Mengjin Liu, Yuxin Zuo, Yang Luo, Daiqiang Wu, Peng Zhen, Jiecheng Guo, Xiaofeng Gao

Proceedings of the Service-Oriented Computing - 22nd International Conference, 2024

KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction.

Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Xiang Li, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng

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

2023

Research on Anomaly Detection in Vehicular CAN Based on Bi-LSTM.

Xiaopeng Kan, Zhihong Zhou, Lihong Yao, Yuxin Zuo

J. Cyber Secur. Mobil., 2023

DSCom: A Data-Driven Self-Adaptive Community-Based Framework for Influence Maximization in Social Networks.

Yuxin Zuo, Haojia Sun, Yongyi Hu, Jianxiong Guo, Xiaofeng Gao

CoRR, 2023

Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering Pairs.

Yuxin Zuo, Bei Li, Chuanhao Lv, Tong Zheng, Tong Xiao, JingBo Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023