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Peng Cheng — most-cited papers & profile · Large Language Models
← authors
·
overview
Peng Cheng
40
papers ·
100
citations ·
16
h-index
Tongji University · East China Normal University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
MSign: An Optimizer Preventing Training Instability in Large Language Models via Stable Rank Restoration
2026
Improving Data and Reward Design for Scientific Reasoning in Large Language Models
2026
Table-BiEval: A Self-Supervised, Dual-Track Framework for Decoupling Structure and Content in LLM Evaluation
2026
ContextCache: Context-Aware Semantic Cache for Multi-Turn Queries in Large Language Models
2025
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models
2025
Optimizing Large Language Model Training Using FP4 Quantization
2025
Skywork Open Reasoner 1 Technical Report
2025
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training
2025
Recycling Pretrained Checkpoints: Orthogonal Growth of Mixture-of-Experts for Efficient Large Language Model Pre-Training
2025
Learning from the Best, Differently: A Diversity-Driven Rethinking on Data Selection
2025
FP8-LM: Training FP8 Large Language Models
2023
Skywork: A More Open Bilingual Foundation Model
2023
Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models
2024
Top co-authors
Xiao Liu
· 7
Yeyun Gong
· 7
Cheng Cheng
· 3
Guoshuai Zhao
· 3
Ruizhe Wang
· 3
Tianwen Wei
· 3
Xiaoyu Zhang
· 3
Yahui Zhou
· 3
Zhenghao Lin
· 3
Ziyue Yang
· 3
Baining Guo
· 2
Biye Li
· 2
Topics
Training Techniques
Efficiency
Model Architecture
Evaluation
Fine-Tuning
Reinforcement Learning
RAG
Vision-Language
In-Context Learning