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
Trevor Darrell — most-cited papers & profile · Large Language Models
← authors
·
overview
Trevor Darrell
97
papers ·
21065
citations ·
139
h-index
University of California, Berkeley
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models
2023 · 20 citations
Vibecheck: Discover And Quantify Qualitative Differences In Large Language Models
2024 · 17 citations
When Do We Not Need Larger Vision Models?
2024 · 15 citations
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
2024 · 3 citations
ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models
2025
Activation Reward Models for Few-Shot Model Alignment
2025
Scaling Vision Pre-Training to 4K Resolution
2025
Learning Adaptive Parallel Reasoning with Language Models
2025
Search Arena: Analyzing Search-Augmented LLMs
2025
Reconstruction Alignment Improves Unified Multimodal Models
2025
Are Large Reasoning Models Interruptible?
2025
Aligning Large Multimodal Models with Factually Augmented RLHF
2023
CLAIR-A: Leveraging Large Language Models to Judge Audio Captions
2024
Top co-authors
Adam Yala
· 3
Joseph E. Gonzalez
· 3
Kurt Keutzer
· 3
Tsung-Han Wu
· 3
Alane Suhr
· 2
Assaf Arbelle
· 2
Baifeng Shi
· 2
Brandon Huang
· 2
Chancharik Mitra
· 2
David M. Chan
· 2
Jiayi Pan
· 2
Leonid Karlinsky
· 2
Topics
Efficiency
Evaluation
Training Techniques
Code
Model Architecture
Reinforcement Learning
Fine-Tuning
Vision-Language
Safety & Alignment
In-Context Learning