@inproceedings{xiao2026webworld,title={WebWorld: A Large-Scale World Model for Web Agent Training},author={Xiao, Zikai and Tu, Jianhong and Zou, Chuhang and Zuo, Yuxin and Li, Zhi and Wang, Peng and Yu, Bowen and Huang, Fei and Lin, Junyang and Liu, Zuozhu},booktitle={Proceedings of the International Conference on Machine Learning (ICML)},year={2026},}
arXiv
Qwen-AgentWorld: Language World Models for General Agents
Yuxin Zuo, Zikai Xiao, Li Sheng, and 3 more authors
@article{zuo2026qwenagentworld,title={Qwen-AgentWorld: Language World Models for General Agents},author={Zuo, Yuxin and Xiao, Zikai and Sheng, Li and Huang, Fei and Tu, Jianhong and others},journal={arXiv preprint arXiv:2606.24597},year={2026},}
2025
EMNLP
LongWeave: A Long-Form Generation Benchmark Bridging Real-World Relevance and Verifiability
Zikai Xiao, Fei Huang, Jianhong Tu, and 7 more authors
In Findings of the Association for Computational Linguistics: EMNLP, 2025
@inproceedings{xiao2025longweave,title={LongWeave: A Long-Form Generation Benchmark Bridging Real-World Relevance and Verifiability},author={Xiao, Zikai and Huang, Fei and Tu, Jianhong and Wei, Jianhui and Ma, Wen and Zhou, Yuxuan and Wu, Jian and Yu, Bowen and Liu, Zuozhu and Lin, Junyang},booktitle={Findings of the Association for Computational Linguistics: EMNLP},year={2025},}
ACL
Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding
Zikai Xiao, Ziyang Wang, Wen Ma, and 5 more authors
In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2025
@inproceedings{xiao2025pcd,title={Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding},author={Xiao, Zikai and Wang, Ziyang and Ma, Wen and Zhang, Yan and Shen, Wei and Yan, Wang and Gong, Luqi and Liu, Zuozhu},booktitle={Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL)},year={2025},}
NeurIPS-W
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers
Xingyue Huang, Gregor Franke, Ziyi Yang, and 2 more authors
@inproceedings{huang2025loong,title={Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers},author={Huang, Xingyue and Franke, Gregor and Yang, Ziyi and Xiao, Zikai and others},booktitle={NeurIPS 2025 Workshop},year={2025},}
ICLR-Blog
Why RoPE Struggles to Maintain Long-Term Decay in Long Sequences?
Wei Shen, Chuheng Yin, Yang Liu, and 3 more authors
@inproceedings{shen2025rope,title={Why RoPE Struggles to Maintain Long-Term Decay in Long Sequences?},author={Shen, Wei and Yin, Chuheng and Liu, Yang and Xiao, Zikai and He, Xin and Wang, Yan},booktitle={ICLR 2025 Blog Track},year={2025},}
2024
ICLR
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
Zikai Xiao, Zihan Chen, Liyinglan Liu, and 6 more authors
In Proceedings of the International Conference on Learning Representations (ICLR), 2024
@inproceedings{xiao2024fedloge,title={FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data},author={Xiao, Zikai and Chen, Zihan and Liu, Liyinglan and Feng, Yang and Wu, Jian and Liu, Wanlu and Zhou, Joey Tianyi and Yang, Howard Hao and Liu, Zuozhu},booktitle={Proceedings of the International Conference on Learning Representations (ICLR)},year={2024},}
2023
NeurIPS
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer
Zikai Xiao, Zihan Chen, Songshang Liu, and 7 more authors
In Advances in Neural Information Processing Systems (NeurIPS), 2023
@inproceedings{xiao2023fedgrab,title={Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer},author={Xiao, Zikai and Chen, Zihan and Liu, Songshang and Wang, Hualiang and Feng, Yang and Hao, Jin and Zhou, Joey Tianyi and Wu, Jian and Yang, Howard Hao and Liu, Zuozhu},booktitle={Advances in Neural Information Processing Systems (NeurIPS)},year={2023},}