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Jie Lou — most-cited papers & profile · Computer Vision
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Jie Lou
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Most-cited papers
Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
2026
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026
Learning from Failures: Correction-Oriented Policy Optimization with Verifiable Rewards
2026
Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
2026
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026
Tackling Length Inflation Without Trade-offs: Group Relative Reward Rescaling for Reinforcement Learning
2026
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2025
NVIDIA Nemotron 3: Efficient and Open Intelligence
2025
MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
2025
dots.llm1 Technical Report
2025
PretrainZero: Reinforcement Active Pretraining
2025
Exploring Implicit Visual Misunderstandings in Multimodal Large Language Models through Attention Analysis
2025
Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch
2025
On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation
2024
Topics
cs.CL
cs.AI
cs.LG
cs.CV
Reinforcement Learning
Fine-Tuning
Model-Based RL
RLHF & Alignment
Policy Gradient
Agentic