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Haitao Mi β most-cited papers & profile Β· Computer Vision
β authors
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overview
Haitao Mi
37
papers Β·
141
citations Β·
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Most-cited papers
R-Zero: Self-Evolving Reasoning LLM from Zero Data
2025 Β· 115 citations
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
2025 Β· 26 citations
FlashMemory-DeepSeek-V4: Lightning Index Ultra-Long Context via Lookahead Sparse Attention
2026
Locas: Your Models are Principled Initializers of Locally-Supported Parametric Memories
2026
Free(): Learning to Forget in Malloc-Only Reasoning Models
2026
The Pensieve Paradigm: Stateful Language Models Mastering Their Own Context
2026
Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
2025
Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation
2025
R-Zero: Self-Evolving Reasoning LLM from Zero Data
2025
Self-Rewarding Vision-Language Model via Reasoning Decomposition
2025
One Token to Fool LLM-as-a-Judge
2025
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
2025
Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training
2025
DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning
2025
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
2025
Topics
Training Techniques
Efficiency
Reinforcement Learning
Fine-Tuning
In-Context Learning
Evaluation
Model Architecture
RAG
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