Yaxin Du

According to our database, Yaxin Du authored at least 22 papers between 2024 and 2026.

Collaborative distances:

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

2026

MIRA: Mid-training Rubric Anchoring for Source-Aware Data Selection.

Haowen Wang, Yaxin Du, Jian Yang, Jiajun Wu, Shukai Liu, Yuxuan Zhang, Pingjie Wang, Siheng Chen, Tuney Zheng, Ming Zhou, Xianglong Liu, Bryan Dai

CoRR, May, 2026

DataMaster: Data-Centric Autonomous AI Research.

Yaxin Du, Xiyuan Yang, Zhifan Zhou, Wanxu Liu, Zixing Lei, Zimeng Chen, Fenyi Liu, Haotian Wu, Yuzhu Cai, Zexi Liu, Xinyu Zhu, WenHao Wang, Linfeng Zhang, Chen Qian, Siheng Chen

CoRR, May, 2026

EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale.

Xinyu Zhu, Yuzhu Cai, Zexi Liu, Cheng Wang, Fengyang Li, Wenkai Jin, Wanxu Liu, Zehao Bing, Bingyang Zheng, Jingyi Chai, Shuo Tang, Rui Ye, Yuwen Du, Xianghe Pang, Yaxin Du, Tingjia Miao, Yuzhi Zhang, Ruoxue Liao, Zhaohan Ding, Linfeng Zhang, Yanfeng Wang, Weinan E, Siheng Chen

CoRR, April, 2026

InCoder-32B-Thinking: Industrial Code World Model for Thinking.

Jian Yang, Wei Zhang, Jiajun Wu, Junhang Cheng, Tuney Zheng, Fanglin Xu, Weicheng Gu, Lin Jing, Yaxin Du, Joseph Li, Yizhi Li, Yan Xing, Chuan Hao, Ran Tao, Ruihao Gong, Aishan Liu, Zhoujun Li, Mingjie Tang, Chenghua Lin, Siheng Chen, Wayne Xin Zhao, Xianglong Liu, Ming Zhou, Bryan Dai, Weifeng Lv

CoRR, April, 2026

InCoder-32B: Code Foundation Model for Industrial Scenarios.

Jian Yang, Wei Zhang, Jiajun Wu, Junhang Cheng, Shawn Guo, Haowen Wang, Weicheng Gu, Yaxin Du, Joseph Li, Fanglin Xu, Yizhi Li, Lin Jing, Yuanbo Wang, Yuhan Gao, Ruihao Gong, Chuan Hao, Ran Tao, Aishan Liu, Tuney Zheng, Ganqu Cui, Zhoujun Li, Mingjie Tang, Chenghua Lin, Wayne Xin Zhao, Xianglong Liu, Ming Zhou, Bryan Dai, Weifeng Lv

CoRR, March, 2026

G²-Reader: Dual Evolving Graphs for Multimodal Document QA.

Yaxin Du, Junru Song, Yifan Zhou, Cheng Wang, Jiahao Gu, Zimeng Chen, Menglan Chen, Wen Yao, Yang Yang, Ying Wen, Siheng Chen

CoRR, January, 2026

2025

Selecting Auxiliary Data via Neural Tangent Kernels for Low-Resource Domains.

Pingjie Wang, Hongcheng Liu, Yusheng Liao, Ziqing Fan, Yaxin Du, Shuo Tang, Yanfeng Wang, Yu Wang

CoRR, November, 2025

MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools.

Wenhao Wang, Peizhi Niu, Zhao Xu, Zhaoyu Chen, Jian Du, Yaxin Du, Xianghe Pang, Keduan Huang, Yanfeng Wang, Qiang Yan, Siheng Chen

CoRR, October, 2025

InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents.

Yaxin Du, Yuanshuo Zhang, Xiyuan Yang, Yifan Zhou, Cheng Wang, Gongyi Zou, Xianghe Pang, Wenhao Wang, Menglan Chen, Shuo Tang, Zhiyu Li, Feiyu Xiong, Siheng Chen

CoRR, October, 2025

BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair.

Xianghe Pang, Shuo Tang, Rui Ye, Yuwen Du, Yaxin Du, Siheng Chen

CoRR, August, 2025

SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development.

Yaxin Du, Yuzhu Cai, Yifan Zhou, Cheng Wang, Yu Qian, Xianghe Pang, Qian Liu, Yue Hu, Siheng Chen

CoRR, May, 2025

VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization.

Menglan Chen, Xianghe Pang, Jingjing Dong, WenHao Wang, Yaxin Du, Siheng Chen

CoRR, April, 2025

MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems.

Rui Ye, Shuo Tang, Rui Ge, Yaxin Du, Zhenfei Yin, Siheng Chen, Jing Shao

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

Self-Evolving Multi-Agent Collaboration Networks for Software Development.

Yue Hu, Yuzhu Cai, Yaxin Du, Xinyu Zhu, Xiangrui Liu, Zijie Yu, Yuchen Hou, Shuo Tang, Siheng Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models.

Zezhou Wang, Yaxin Du, Xingjun Ma, Yu-Gang Jiang, Zhuzhong Qian, Siheng Chen

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

FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models.

Yaxin Du, Rui Ye, Fengting Yuchi, Wanru Zhao, Jingjing Qu, Yanfeng Wang, Siheng Chen

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

2024

Data Quality Control in Federated Instruction-tuning of Large Language Models.

Yaxin Du, Rui Ye, Yuchi Fengting, Wanru Zhao, Jingjing Qu, Yanfeng Wang, Siheng Chen

CoRR, 2024

Federated Instruction Tuning of LLMs with Domain Coverage Augmentation.

Zezhou Wang, Yaxin Du, Zhuzhong Qian, Siheng Chen

CoRR, 2024

Enhancing Data Quality in Federated Fine-Tuning of Foundation Models.

Wanru Zhao, Yaxin Du, Nicholas Donald Lane, Siheng Chen, Yanfeng Wang

CoRR, 2024

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models.

Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning.

Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Fake It Till Make It: Federated Learning with Consensus-Oriented Generation.

Rui Ye, Yaxin Du, Zhenyang Ni, Yanfeng Wang, Siheng Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024