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Mengru Wang — most-cited papers & profile · Large Language Models
← authors
·
overview
Mengru Wang
18
papers ·
102
citations
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Most-cited papers
Detoxifying Large Language Models Via Knowledge Editing
2024 · 102 citations
From Data to Behavior: Predicting Unintended Model Behaviors Before Training
2026
When Should Models Change Their Minds? Contextual Belief Management in Large Language Models
2026
ReLearn: Unlearning via Learning for Large Language Models
2025
EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models
2025
Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training
2025
Automating Steering for Safe Multimodal Large Language Models
2025
LightMem: Lightweight and Efficient Memory-Augmented Generation
2025
Too Good to be Bad: On the Failure of LLMs to Role-Play Villains
2025
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2025
EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models
2025
LookAhead Tuning: Safer Language Models via Partial Answer Previews
2025
A Comprehensive Study of Knowledge Editing for Large Language Models
2024
Top co-authors
Ningyu Zhang
· 8
Shumin Deng
· 7
Yunzhi Yao
· 7
Huajun Chen
· 6
Ziwen Xu
· 6
Haoming Xu
· 5
Bryan Hooi
· 3
Xinle Deng
· 3
Guozhou Zheng
· 2
Jun Zhou
· 2
Kewei Xu
· 2
Lei Liang
· 2
Topics
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Evaluation
Safety & Alignment
Fine-Tuning
In-Context Learning
Model Architecture
Training Techniques
Reinforcement Learning
RAG
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