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Minxuan Lv
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2020 – today
- 2025
[c5]Minxuan Lv, Kun Li, Wei Zhou, Songlin Hu:
GRAgent: A Generative Retrieval Framework for Action Subspace Selection. CSCWD 2025: 2280-2285
[c4]Minxuan Lv, Zhenpeng Su, Leiyu Pan, Yizhe Xiong, Zijia Lin, Hui Chen, Wei Zhou, Jungong Han, Guiguang Ding, Wenwu Ou, Di Zhang, Kun Gai, Songlin Hu:
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs. EMNLP 2025: 19711-19722
[c3]Zhenpeng Su, Xing Wu, Zijia Lin, Yizhe Xiong, Minxuan Lv, Guangyuan Ma, Hui Chen, Songlin Hu, Guiguang Ding:
CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts. NAACL (Long Papers) 2025: 10040-10055
[i7]Minxuan Lv, Zhenpeng Su, Leiyu Pan, Yizhe Xiong, Zijia Lin, Hui Chen, Wei Zhou, Jungong Han, Guiguang Ding, Cheng Luo, Di Zhang, Kun Gai, Songlin Hu:
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs. CoRR abs/2502.12455 (2025)
[i6]Leiyu Pan, Zhenpeng Su, Minxuan Lv, Yizhe Xiong, Xiangwen Zhang, Zijia Lin, Hui Chen, Jungong Han, Guiguang Ding, Cheng Luo, Di Zhang, Kun Gai, Deyi Xiong:
Finedeep: Mitigating Sparse Activation in Dense LLMs via Multi-Layer Fine-Grained Experts. CoRR abs/2502.12928 (2025)
[i5]Zhenpeng Su, Leiyu Pan, Minxuan Lv, Yuntao Li, Wenping Hu, Fuzheng Zhang, Kun Gai, Guorui Zhou:
CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning. CoRR abs/2509.20712 (2025)
[i4]Zhenpeng Su, Leiyu Pan, Minxuan Lv, Tiehua Mei, Zijia Lin, Yuntao Li, Wenping Hu, Ruiming Tang, Kun Gai, Guorui Zhou:
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning. CoRR abs/2512.05591 (2025)- 2024
[i3]Zhenpeng Su, Xing Wu, Zijia Lin, Yizhe Xiong, Minxuan Lv, Guangyuan Ma, Hui Chen, Songlin Hu, Guiguang Ding:
CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts. CoRR abs/2410.16077 (2024)- 2023
[c2]Minxuan Lv, Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu:
CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability. EMNLP 2023: 5581-5591
[c1]Chengwei Dai, Minxuan Lv, Kun Li, Wei Zhou:
MeaeQ: Mount Model Extraction Attacks with Efficient Queries. EMNLP 2023: 12671-12684
[i2]Chengwei Dai, Minxuan Lv, Kun Li, Wei Zhou:
MeaeQ: Mount Model Extraction Attacks with Efficient Queries. CoRR abs/2310.14047 (2023)
[i1]Minxuan Lv, Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu:
CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability. CoRR abs/2310.14265 (2023)
Coauthor Index

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