Yaxin Du

According to our database, Yaxin Du authored at least 11 papers between 2024 and 2025.

Collaborative distances:

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

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

CoRR, March, 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

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 38: 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