Awesome Large Language Models
Papers
Topics
Trending
Leaderboards
Authors
Datasets
Learn
Ask AI
Map
Tools
Reading Packs
News
All sections
Browse
Papers
The full index, filterable and sortable.
Topics
The same papers grouped by subject tag.
Trending
What moved this week, and by how much.
Authors
Who publishes here, and who they publish with.
Map
The collection laid out by embedding similarity.
Compare
Leaderboards
Benchmark tables, with the paper behind each number.
Datasets
The datasets these papers train and evaluate on.
Tools
Code and libraries released alongside the papers.
Read
Learn
Ordered routes from background reading to current work.
Ask AI
Ask a question and get answers cited to these papers.
Videos
The most-watched talks and lectures in this field.
Reading Packs
Short curated sets built around one question.
Follow
News
Press and coverage tied back to the papers.
Blogs
Author and lab write-ups of their own work.
Newsletter
Email digest of what changed, on a schedule.
Research Radar
Paste an abstract, get matches across every collection.
Yours
Saved
Papers you bookmarked in this browser.
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
Ask AI
Chunting Zhou — most-cited papers & profile · Large Language Models
← authors
·
overview
Chunting Zhou
10
papers ·
173
citations ·
19
h-index
Wenzhou Medical University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
LIMA: Less Is More for Alignment
2023 · 128 citations
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming
2023 · 4 citations
In-context Pretraining: Language Modeling Beyond Document Boundaries
2023 · 3 citations
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
2024
Top co-authors
Luke Zettlemoyer
· 3
Gargi Ghosh
· 2
Mike Lewis
· 2
Yuning Mao
· 2
Avia Efrat
· 1
Jiao Sun
· 1
Jiawei Han
· 1
Liang Luo
· 1
Lili Yu
· 1
Lili Yu
· 1
Madian Khabsa
· 1
Margaret Li
· 1
Topics
Training Techniques
Reinforcement Learning
In-Context Learning
Prompting
RAG
Safety & Alignment
Model Architecture
Efficiency
Vision-Language
Evaluation