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Furu Wei — most-cited papers & profile · Federated Learning
← authors
·
overview
Furu Wei
69
papers ·
1045
citations ·
83
h-index
Microsoft (United States) · Microsoft (Finland) · Microsoft Research Asia (China) · Microsoft Research (United Kingdom)
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Most-cited papers
BEiT: BERT Pre-Training of Image Transformers
2021 · 928 citations
UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation
2023 · 28 citations
VibeVoice Technical Report
2025 · 23 citations
Low-code LLM: Graphical User Interface over Large Language Models
2023 · 23 citations
Learning to Retrieve In-Context Examples for Large Language Models
2023 · 13 citations
Instruction Pre-Training: Language Models are Supervised Multitask Learners
2024 · 13 citations
Fine-Tuning LLaMA for Multi-Stage Text Retrieval
2023 · 7 citations
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
2023 · 6 citations
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References
2023 · 3 citations
Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts
2025 · 1 citations
Black-Box On-Policy Distillation of Large Language Models
2025
DocReward: A Document Reward Model for Structuring and Stylizing
2026
LLM-in-Sandbox Elicits General Agentic Intelligence
2026
Sparse-BitNet: 1.58-bit LLMs are Naturally Friendly to Semi-Structured Sparsity
2026
Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
2026
Top co-authors
Li Dong
· 2
Baohao Liao
· 1
Christof Monz
· 1
Guanheng Chen
· 1
Hanze Dong
· 1
He Zhu
· 1
Shaohan Huang
· 1
Tianzhu Ye
· 1
Xinxing Xu
· 1
Xun Wu
· 1
Topics
Training Techniques
Efficiency
Model Architecture
Evaluation
Fine-Tuning
Code
Code Models
Prompting
RAG
In-Context Learning