Haoyuan Wu, Aoqi Wu, Hai Wang, Jiajia Wu, Jinxiang Ou, Bei Yu, "Scaling Native Multimodal Pre-Training From Scratch", arXiv:2607.22043 (2026).

Inclusion AI, Tiwei Bie, Haoxing Chen, Tieyuan Chen, Zhenglin Cheng, Long Cui, Kai Gan, Zhicheng Huang, Zhenzhong Lan, Haoquan Li, Jianguo Li, Tao Lin, Qi Qin, Hongjun Wang, Xiaomei Wang, Haoyuan Wu, Yi Xin, Junbo Zhao, "LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model", arXiv:2604.20796 (2026)(Inclusion AI Technical Report).

Haoyuan Wu, Hai Wang, Jiajia Wu, Jinxiang Ou, Keyao Wang, Weile Chen, Zihao Zheng, Bei Yu, "Diversity or Precision? A Deep Dive into Next Token Prediction", The 3rd Conference on Language Modeling (COLM 2026).

Rui Ming, Haoyuan Wu, Shoubo Hu, Zhuolun He, Bei Yu, "One-Token Rollout: Guiding Supervised Fine-Tuning of LLMs with Policy Gradient", The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026, Findings).

Siheng Li, Kejiao Li, Zenan Xu, Guanhua Huang, Kun Li, Haoyuan Wu, Jiajia Wu, Zihao Zheng, Chenchen Zhang, Kun Shi, Xue Gong, Qi Yi, Ruibin Xiong, Tingqiang Xu, Yuhao Jiang, Jianfeng Yan, Yuyuan Zeng, Guanghui Xu, Jinbao Xue, Zhijiang Xu, Zheng Fang, Shuai Li, Qibin Liu, Xiaoxue Li, Zhuoyu Li, Yangyu Tao, Fei Gao, Cheng Jiang, Bo Chao Wang, Kai Liu, Jianchen Zhu, Wai Lam, Bo Zhou, Di Wang, "Reinforcement Learning on Pre-Training Data", The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026, SAC Highlight).

Haoyuan Wu, Haoxing Chen, Xiaodong Chen, Zhanchao Zhou, Tieyuan Chen, Yihong Zhuang, Guoshan Lu, Zenan Huang, Junbo Zhao, Lin Liu, Zhenzhong Lan, Bei Yu, Jianguo Li, "Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts", The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026, Findings).

Haoyuan Wu, Rui Ming, Jilong Gao, Hangyu Zhao, Xueyi Chen, Yikai Yang, Haisheng Zheng, Zhuolun He, Bei Yu, "On-Policy Optimization with Group Equivalent Preference for Multi-Programming Language Understanding", The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025).

Haoyuan Wu, Xueyi Chen, Rui Ming, Jilong Gao, Shoubo Hu, Zhuolun He, Bei Yu, "ToTRL: Unlock LLM Tree-of-Thoughts Reasoning Potential through Puzzles Solving", arXiv:2505.12717 (2025).

Haoyuan Wu, Rui Ming, Haisheng Zheng, Zhuolun He, Bei Yu, "Efficient OpAmp Adaptation for Zoom Attention to Golden Contexts", The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025, Main Conference).

Haoyuan Wu, Haisheng Zheng, Zhuolun He, Bei Yu, "Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation", The 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025, Main Conference).

Haoyuan Wu, Haisheng Zheng, Zhuolun He, Bei Yu, "Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks", The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024, Main Conference).

Haoyuan Wu, Zhuolun He, Xinyun Zhang, Xufeng Yao, Su Zheng, Haisheng Zheng, Bei Yu, "ChatEDA: A Large Language Model Powered Autonomous Agent for EDA", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 43, no. 10, pp. 3184–3197, 2024.

Haoyuan Wu, Xinyun Zhang, Peng Xu, Peiyu Liao, Xufeng Yao, Bei Yu, "p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models", The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024 Oral).