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Minxuan Lv — most-cited papers & profile · AI Agents
← authors
·
overview
Minxuan Lv
4
papers ·
0
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
2025
CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
2025
CE-GPPO: Controlling Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
2025
Finedeep: Mitigating Sparse Activation in Dense LLMs via Multi-Layer Fine-Grained Experts
2025
Topics
Policy Gradient
Safe RL
RLHF & Alignment
Exploration
Reinforcement Learning
In-Context Learning
Training Techniques
Efficiency
cs.CL