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2020 – today
- 2025
[i5]Honglin Lin, Zhuoshi Pan, Yu Li, Qizhi Pei, Xin Gao, Mengzhang Cai, Conghui He, Lijun Wu:
MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer. CoRR abs/2503.14891 (2025)- [i4]Chenlin Ming, Chendi Qu, Mengzhang Cai, Qizhi Pei, Zhuoshi Pan, Yu Li, Xiaoming Duan, Lijun Wu, Conghui He:
IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment. CoRR abs/2505.12762 (2025) - [i3]Zinan Tang, Xin Gao, Qizhi Pei, Zhuoshi Pan, Mengzhang Cai, Jiang Wu, Conghui He, Lijun Wu:
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning. CoRR abs/2508.21589 (2025) - [i2]Zheng Liu, Mengjie Liu, Siwei Wen, Mengzhang Cai, Bin Cui, Conghui He, Wentao Zhang:
From Uniform to Heterogeneous: Tailoring Policy Optimization to Every Token's Nature. CoRR abs/2509.16591 (2025) - 2022
- [c2]Guoqing Liu, Mengzhang Cai, Li Zhao, Tao Qin, Adrian Brown, Jimmy Bischoff, Tie-Yan Liu:
Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation. CoG 2022: 237-244 - [i1]Guoqing Liu, Mengzhang Cai, Li Zhao, Tao Qin, Adrian Brown, Jimmy Bischoff, Tie-Yan Liu:
Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation. CoRR abs/2207.08379 (2022) - 2021
- [c1]Mengzhang Cai, Wengang Zhou, Qing Li, Houqiang Li:
Random Sampling Weights Allocation Update for Deep Reinforcement Learning. ICONIP (5) 2021: 676-684
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