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Mao Yang — most-cited papers & profile · Large Language Models
← authors
·
overview
Mao Yang
20
papers ·
8
citations ·
30
h-index
Sun Yat-sen University · ISRO Propulsion Complex · Electric Propulsion Laboratory (United States)
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Most-cited papers
Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity
2025
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
2025
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models
2025
RetroInfer: A Vector-Storage Approach for Scalable Long-Context LLM Inference
2025
rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset
2025
Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
2025
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training
2025
RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation
2025
Deep Self-Evolving Reasoning
2025
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts
2025
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge
2024
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
2024
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
2024
SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs
2024
Top co-authors
Fan Yang
· 6
Li Lyna Zhang
· 5
Ting Cao
· 4
Ning Shang
· 3
Qi Chen
· 3
Yang Wang
· 3
Yifei Liu
· 3
Jiang Bian
· 2
Kailai Yang
· 2
Peng Cheng
· 2
Shengyu Ye
· 2
Shijie Cao
· 2
Topics
Training Techniques
Efficiency
Model Architecture
Fine-Tuning
In-Context Learning
Reinforcement Learning
Code
RAG
Evaluation