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
Beidi Chen — most-cited papers & profile · Large Language Models
← authors
·
overview
Beidi Chen
30
papers ·
1740
citations ·
19
h-index
Peking University · Peking University Third Hospital
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Efficient Streaming Language Models With Attention Sinks
2023 · 1654 citations
Prompt-prompted Adaptive Structured Pruning For Efficient LLM Generation
2024 · 21 citations
Speculative Prefill: Turbocharging TTFT With Lightweight And Training-free Token Importance Estimation
2025 · 10 citations
FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications
2026
AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs
2026
Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?
2025
FSA: An Alternative Efficient Implementation of Native Sparse Attention Kernel
2025
HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading
2025
Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation
2025
H_2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
2023
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
2023
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
2024
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
2024
TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
2024
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
2024
Top co-authors
Yuandong Tian
· 5
Jiawei Zhao
· 4
Zhuoming Chen
· 4
Hanshi Sun
· 3
Anima Anandkumar
· 2
Binhang Yuan
· 2
Ce Zhang
· 2
Christopher Re
· 2
Haizhong Zheng
· 2
Harry Dong
· 2
Tianyi Zhou
· 2
Xinyu Yang
· 2
Topics
Efficiency
Model Architecture
Training Techniques
In-Context Learning
Code
Agentic
Reinforcement Learning
Evaluation
Fine-Tuning
RAG