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Qingwei Lin — most-cited papers & profile · Large Language Models
← authors
·
overview
Qingwei Lin
36
papers ·
34
citations ·
37
h-index
Microsoft (United States) · Microsoft Research Asia (China)
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Most-cited papers
LettinGo: Explore User Profile Generation for Recommendation System
2025
MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
2025
Lean and Mean: Decoupled Value Policy Optimization with Global Value Guidance
2025
API Agents vs. GUI Agents: Divergence and Convergence
2025
UFO2: The Desktop AgentOS
2025
RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning
2025
Text2Grad: Reinforcement Learning from Natural Language Feedback
2025
SWE-bench Goes Live!
2025
DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
2025
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
2023
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
2023
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
2023
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
2024
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
2024
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
2024
Top co-authors
Dongmei Zhang
· 17
Saravan Rajmohan
· 12
Lu Wang
· 9
Qi Zhang
· 9
Chaoyun Zhang
· 8
Fangkai Yang
· 8
Pu Zhao
· 7
Si Qin
· 7
Jue Zhang
· 6
Shilin He
· 6
Yu Kang
· 6
Minghua Ma
· 4
Topics
Evaluation
RAG
Efficiency
Agentic
Training Techniques
Prompting
Code
Reinforcement Learning
Model Architecture
Fine-Tuning