Gao, Junqi

9 publications

ICLR 2026 MARTI: A Framework for Multi-Agent LLM Systems Reinforced Training and Inference Kaiyan Zhang, Kai Tian, Runze Liu, Sihang Zeng, Xuekai Zhu, Guoli Jia, Yuchen Fan, Xingtai Lv, Yuxin Zuo, Che Jiang, Yuru Wang, Jianyu Wang, Ermo Hua, Xinwei Long, Junqi Gao, Youbang Sun, Zhiyuan Ma, Ganqu Cui, Ning Ding, Biqing Qi, Bowen Zhou

NeurIPS 2025 Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration Junqi Gao, Zhichang Guo, Dazhi Zhang, Dong Li, Runze Liu, Pengfei Li, Kai Tian, Biqing Qi

ICLRW 2025 Can 1b LLM Surpass 405b LLM? Rethinking Compute-Optimal Test-Time Scaling Runze Liu, Junqi Gao, Jian Zhao, Kaiyan Zhang, Xiu Li, Biqing Qi, Wanli Ouyang, Bowen Zhou

AAAI 2025 Fast and Slow Gradient Approximation for Binary Neural Network Optimization Xinquan Chen, Junqi Gao, Biqing Qi, Dong Li, Yiang Luo, Fangyuan Li, Pengfei Li

CVPR 2025 Less Is More: Efficient Model Merging with Binary Task Switch Biqing Qi, Fangyuan Li, Zhen Wang, Junqi Gao, Dong Li, Peng Ye, Bowen Zhou

NeurIPS 2024 An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning Dong Li, Aijia Zhang, Junqi Gao, Biqing Qi

NeurIPS 2024 Exploring Adversarial Robustness of Deep State Space Models Biqing Qi, Yiang Luo, Junqi Gao, Pengfei Li, Kai Tian, Zhiyuan Ma, Bowen Zhou

CVPR 2024 Interactive Continual Learning: Fast and Slow Thinking Biqing Qi, Xinquan Chen, Junqi Gao, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou

NeurIPS 2023 Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability Junqi Gao, Biqing Qi, Yao Li, Zhichang Guo, Dong Li, Yuming Xing, Dazhi Zhang