Awesome Large Language Models
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Xiaoye Qu — most-cited papers & profile · Large Language Models
← authors
·
overview
Xiaoye Qu
32
papers ·
8
citations ·
26
h-index
Huazhong University of Science and Technology Hospital · Huazhong University of Science and Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models
2024 · 1 citations
Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model
2026
π-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows
2026
Draft-OPD: On-Policy Distillation for Speculative Draft Models
2026
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models
2025
LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid
2025
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
2025
Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts
2025
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
2025
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
2025
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
2025
Intern-S1: A Scientific Multimodal Foundation Model
2025
A Survey of Reinforcement Learning for Large Reasoning Models
2025
VideoSSR: Video Self-Supervised Reinforcement Learning
2025
DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models
2025
Top co-authors
Yu Cheng
· 16
Yafu Li
· 7
Tong Zhu
· 6
Weigao Sun
· 4
Bowen Zhou
· 3
Disen Lan
· 3
Ganqu Cui
· 3
Ning Ding
· 3
Wei Wei
· 3
Zhaochen Su
· 3
Chenghao Fan
· 2
Daizong Liu
· 2
Topics
Training Techniques
Model Architecture
Efficiency
Fine-Tuning
Reinforcement Learning
Evaluation
In-Context Learning
Code
Vision-Language
MoE