Yaxin Du - RankMe

23 papers A* 5Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	G CoRR Yaxin Du, Junru Song, Yifan Zhou, Cheng Wang, Jiahao Gu, Zimeng Chen, Menglan Chen, Wen Yao, Yang Yang, Ying Wen, Siheng Chen
2026	J	`jnl`	InCoder-32B: Code Foundation Model for Industrial Scenarios. CoRR 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
2025	J	`jnl`	BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair. CoRR Xianghe Pang, Shuo Tang, Rui Ye, Yuwen Du, Yaxin Du, Siheng Chen
2025	—	`conf`	FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models. ACL (Findings) Yaxin Du, Rui Ye, Fengting Yuchi, Wanru Zhao, Jingjing Qu, Yanfeng Wang, Siheng Chen
2025	J	`jnl`	InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents. CoRR 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
2025	A*	`conf`	MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems. ICML Rui Ye, Shuo Tang, Rui Ge, Yaxin Du, Zhenfei Yin, Siheng Chen, Jing Shao
2025	J	`jnl`	MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems. CoRR Rui Ye, Shuo Tang, Rui Ge, Yaxin Du, Zhenfei Yin, Siheng Chen, Jing Shao
2025	J	`jnl`	MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools. CoRR Wenhao Wang, Peizhi Niu, Zhao Xu, Zhaoyu Chen, Jian Du, Yaxin Du, Xianghe Pang, Keduan Huang, Yanfeng Wang, Qiang Yan, Siheng Chen
2025	—	`conf`	Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models. EMNLP (Findings) Zezhou Wang, Yaxin Du, Xingjun Ma, Yu-Gang Jiang, Zhuzhong Qian, Siheng Chen
2025	J	`jnl`	SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development. CoRR Yaxin Du, Yuzhu Cai, Yifan Zhou, Cheng Wang, Yu Qian, Xianghe Pang, Qian Liu, Yue Hu, Siheng Chen
2025	J	`jnl`	Selecting Auxiliary Data via Neural Tangent Kernels for Low-Resource Domains. CoRR Pingjie Wang, Hongcheng Liu, Yusheng Liao, Ziqing Fan, Yaxin Du, Shuo Tang, Yanfeng Wang, Yu Wang
2025	A*	`conf`	Self-Evolving Multi-Agent Collaboration Networks for Software Development. ICLR Yue Hu, Yuzhu Cai, Yaxin Du, Xinyu Zhu, Xiangrui Liu, Zijie Yu, Yuchen Hou, Shuo Tang, Siheng Chen
2025	J	`jnl`	VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization. CoRR Menglan Chen, Xianghe Pang, Jingjing Dong, Wenhao Wang, Yaxin Du, Siheng Chen
2024	J	`jnl`	Data Quality Control in Federated Instruction-tuning of Large Language Models. CoRR Yaxin Du, Rui Ye, Yuchi Fengting, Wanru Zhao, Jingjing Qu, Yanfeng Wang, Siheng Chen
2024	J	`jnl`	Enhancing Data Quality in Federated Fine-Tuning of Foundation Models. CoRR Wanru Zhao, Yaxin Du, Nicholas Donald Lane, Siheng Chen, Yanfeng Wang
2024	A*	`conf`	Fake It Till Make It: Federated Learning with Consensus-Oriented Generation. ICLR Rui Ye, Yaxin Du, Zhenyang Ni, Yanfeng Wang, Siheng Chen
2024	A*	`conf`	FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models. NeurIPS Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen
2024	J	`jnl`	FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models. CoRR Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen
2024	J	`jnl`	Federated Instruction Tuning of LLMs with Domain Coverage Augmentation. CoRR Zezhou Wang, Yaxin Du, Zhuzhong Qian, Siheng Chen
2024	A*	`conf`	OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning. KDD Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen
2024	J	`jnl`	OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning. CoRR Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen
2024	J	`jnl`	Self-Evolving Multi-Agent Collaboration Networks for Software Development. CoRR Yue Hu, Yuzhu Cai, Yaxin Du, Xinyu Zhu, Xiangrui Liu, Zijie Yu, Yuchen Hou, Shuo Tang, Siheng Chen
2023	J	`jnl`	Fake It Till Make It: Federated Learning with Consensus-Oriented Generation. CoRR Rui Ye, Yaxin Du, Zhenyang Ni, Siheng Chen, Yanfeng Wang