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
Zhangyang Wang — most-cited papers & profile · Large Language Models
← authors
·
overview
Zhangyang Wang
72
papers ·
1632
citations ·
62
h-index
Shanghai Sixth People's Hospital · The University of Texas at Austin
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Lococo: Dropping In Convolutions For Long Context Compression
2024 · 17 citations
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
2025 · 9 citations
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
2023 · 2 citations
Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration
2025
MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games
2026
Beyond Test-Time Training: Learning to Reason via Hardware-Efficient Optimal Control
2026
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
2025
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding
2025
Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam
2025
Demystifying the Visual Quality Paradox in Multimodal Large Language Models
2025
LLMs Can Get "Brain Rot"!
2025
The Path Not Taken: RLVR Provably Learns Off the Principals
2025
Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process
2025
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
2025
H_2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
2023
Top co-authors
Zhenyu Zhang
· 9
Yuandong Tian
· 6
Jiawei Zhao
· 4
Peihao Wang
· 4
Ruisi Cai
· 4
Shiwei Liu
· 4
Ajay Jaiswal
· 3
Tianlong Chen
· 3
Aditya Akella
· 2
Beidi Chen
· 2
David Z. Pan
· 2
Gaojie Jin
· 2
Topics
Training Techniques
Efficiency
Fine-Tuning
Model Architecture
Code
RAG
Reinforcement Learning
Evaluation
Safety & Alignment
In-Context Learning