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• Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
  2024 · 158 citations
• CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
  2023 · 57 citations
• Reinforcement Learning for Reasoning in Large Language Models with One Training Example
  2025 · 1 citations
• Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability
  2026
• Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models
  2025
• Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math
  2025
• SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
  2025
• Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
  2025
• Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
  2025
• Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code
  2024
• An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
  2023
• Language Models can be Logical Solvers
  2023
• Rho-1: Not All Tokens Are What You Need
  2024
• Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
  2024