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
Weizhi Zhang — most-cited papers & profile · Large Language Models
← authors
·
overview
Weizhi Zhang
16
papers ·
3
citations ·
0
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
2025 · 1 citations
Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback
2026
BlockServe: Block-Grained Continuous Batching for High-Throughput Diffusion LLM Serving
2026
SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
2026
Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory
2026
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
2026
LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering
2025
PersonaAgent: Bridging Memory and Action for Personalized LLM Agents
2025
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
2025
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy
2025
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
2025
Top co-authors
Philip S. Yu
· 7
Henry Peng Zou
· 4
Liangwei Yang
· 4
Junyu Luo
· 3
Ming Zhang
· 3
Xiao Luo
· 3
Bohan Wu
· 2
Dongyuan Li
· 2
Haodong Yue
· 2
Haozhen Zhang
· 2
Jianzhu Bao
· 2
Junwei Yang
· 2
Topics
Agentic
Evaluation
RAG
Efficiency
Model Architecture
In-Context Learning
Survey Paper
Training Techniques
Safety & Alignment
Reinforcement Learning