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Zekun Wang — most-cited papers & profile · Large Language Models
← authors
·
overview
Zekun Wang
25
papers ·
195
citations ·
1
h-index
Wuhan University of Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Qwen3 Technical Report
2025 · 73 citations
Mtu-bench: A Multi-granularity Tool-use Benchmark For Large Language Models
2024 · 14 citations
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models
2025 · 6 citations
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training
2026
OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training
2025
MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues
2025
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models
2024
CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
2024
McEval: Massively Multilingual Code Evaluation
2024
MIO: A Foundation Model on Multimodal Tokens
2024
MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models
2024
M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation
2024
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
2024
Top co-authors
Ge Zhang
· 6
Bo Zheng
· 5
Jiaheng Liu
· 5
Jian Yang
· 4
Dayiheng Liu
· 3
Junyang Lin
· 3
Rui Men
· 3
Yanan Wu
· 3
Zihan Qiu
· 3
Chunpu Xu
· 2
Hongcheng Guo
· 2
Jie Fu
· 2
Topics
Evaluation
Training Techniques
Model Architecture
Code
Vision-Language
Efficiency
In-Context Learning
Fine-Tuning
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