Fanxu Meng

According to our database, Fanxu Meng authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Law in Silico: Simulating Legal Society with LLM-Based Agents.

Yiding Wang, Yuxuan Chen, Fanxu Meng, Xifan Chen, Xiaolei Yang, Muhan Zhang

CoRR, October, 2025

TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill and Decode Inference.

Xiaojuan Tang, Fanxu Meng, Pingzhi Tang, Yuxuan Wang, Di Yin, Xing Sun, Muhan Zhang

CoRR, August, 2025

LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades.

Yanan Li, Fanxu Meng, Muhan Zhang, Shiai Zhu, Shangguang Wang, Mengwei Xu

CoRR, May, 2025

LIFT: Improving Long Context Understanding of Large Language Models through Long Input Fine-Tuning.

Yansheng Mao, Yufei Xu, Jiaqi Li, Fanxu Meng, Haotong Yang, Zilong Zheng, Xiyuan Wang, Muhan Zhang

CoRR, February, 2025

TransMLA: Multi-Head Latent Attention Is All You Need.

Fanxu Meng, Zengwei Yao, Muhan Zhang

CoRR, February, 2025

2024

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning.

Yansheng Mao, Jiaqi Li, Fanxu Meng, Jing Xiong, Zilong Zheng, Muhan Zhang

CoRR, 2024

CLOVER: Constrained Learning with Orthonormal Vectors for Eliminating Redundancy.

Fanxu Meng, Muhan Zhang

CoRR, 2024

PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models.

Fanxu Meng, Zhaohui Wang, Muhan Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Chain of Images for Intuitively Reasoning.

Fanxu Meng, Haotong Yang, Yiding Wang, Muhan Zhang

CoRR, 2023

Explaining the Complex Task Reasoning of Large Language Models with Template-Content Structure.

Haotong Yang, Fanxu Meng, Zhouchen Lin, Muhan Zhang

CoRR, 2023

Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners.

Xiaojuan Tang, Zilong Zheng, Jiaqi Li, Fanxu Meng, Song-Chun Zhu, Yitao Liang, Muhan Zhang

CoRR, 2023

2021

RMNet: Equivalently Removing Residual Connection from Networks.

Fanxu Meng, Hao Cheng, Jiaxin Zhuang, Ke Li, Xing Sun

CoRR, 2021

On The Consistency Training for Open-Set Semi-Supervised Learning.

Huixiang Luo, Hao Cheng, Yuting Gao, Ke Li, Mengdan Zhang, Fanxu Meng, Xiaowei Guo, Feiyue Huang, Xing Sun

CoRR, 2021

2020

DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation.

Hao Cheng, Fanxu Meng, Ke Li, Huixiang Luo, Guangming Lu, Xiaowei Guo, Feiyue Huang, Xing Sun

CoRR, 2020

Pruning Filter in Filter.

Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Filter Grafting for Deep Neural Networks.

Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020