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
Yi Dong — most-cited papers & profile · Large Language Models
← authors
·
overview
Yi Dong
44
papers ·
224
citations ·
17
h-index
University of Liverpool · Institute of Rock and Soil Mechanics · Geomechanica (Canada) · State Key Laboratory of Geomechanics and Geotechnical Engineering
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Safeguarding Large Language Models: A Survey
2024 · 106 citations
Building Guardrails For Large Language Models
2024 · 82 citations
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge
2026
Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text
2026
PrefixGuard: From LLM-Agent Traces to Online Failure-Warning Monitors
2026
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages
2025
BroRL: Scaling Reinforcement Learning via Broadened Exploration
2025
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge
2025
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
2025
NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment
2024
HelpSteer2-Preference: Complementing Ratings with Preferences
2024
Top co-authors
Jan Kautz
· 5
Jiaqi Zeng
· 5
Shizhe Diao
· 5
Ximing Lu
· 5
Yejin Choi
· 5
Zhilin Wang
· 5
Pavlo Molchanov
· 4
Ellie Evans
· 3
Jaehun Jung
· 3
Mingjie Liu
· 3
Oleksii Kuchaiev
· 3
Olivier Delalleau
· 3
Topics
Fine-Tuning
Evaluation
Reinforcement Learning
Training Techniques
Safety & Alignment
Efficiency
Survey Paper
Agentic
In-Context Learning
Prompting