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
Liang Ding — most-cited papers & profile · Large Language Models
← authors
·
overview
Liang Ding
15
papers ·
53
citations ·
8
h-index
Northeast Forestry University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models
2023 · 10 citations
Revisiting Demonstration Selection Strategies in In-Context Learning
2024 · 2 citations
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
2024 · 1 citations
KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance
2025
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding
2025
Top co-authors
Dacheng Tao
· 4
Bo Du
· 2
Juhua Liu
· 2
Keqin Peng
· 2
Qihuang Zhong
· 2
Yancheng Yuan
· 2
Yuanxin Ouyang
· 2
Meng Fang
· 1
Min Zhang
· 1
Qingyue Wang
· 1
Shuai Wang
· 1
Xiantao Cai
· 1
Topics
Training Techniques
Evaluation
In-Context Learning
Prompting
Code
Fine-Tuning
RAG
Safety & Alignment
Efficiency