Yuanteng Chen

According to our database, Yuanteng Chen authored at least 6 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Certain Head, Uncertain Tail: Expert-Sample for Test-Time Scaling in Fine-Grained MoE.

Yuanteng Chen, Peisong Wang, Nanxin Zeng, Yuantian Shao, Gang Li, Jing Liu, Jian Cheng

CoRR, February, 2026

2025

Block Rotation is All You Need for MXFP4 Quantization.

Yuantian Shao, Peisong Wang, Yuanteng Chen, Chang Xu, Zhihui Wei, Jian Cheng

CoRR, November, 2025

DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization.

Yuantian Shao, Yuanteng Chen, Peisong Wang, Jianlin Yu, Jing Lin, Yiwu Yao, Zhihui Wei, Jian Cheng

CoRR, November, 2025

Ban&Pick: Ehancing Performance and Efficiency of MoE-LLMs via Smarter Routing.

Yuanteng Chen, Peisong Wang, Yuantian Shao, Nanxin Zeng, Chang Xu, Jian Cheng

CoRR, September, 2025

EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models.

Yuanteng Chen, Yuantian Shao, Peisong Wang, Jian Cheng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Q-Mamba: Towards more efficient Mamba models via post-training quantization.

Tianqi Chen, Yuanteng Chen, Peisong Wang, Weixiang Xu, Zeyu Zhu, Jian Cheng

Proceedings of the Findings of the Association for Computational Linguistics, 2025