Papers

• Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning (2026)
  Sanket Badhe et al.
  1.94
• On-Policy Self-Distillation for Reasoning Compression (2026)
  Hejian Sang et al.
  1.94
• Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why (2026)
  Mohammadreza Armandpour et al.
  1.94
• Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation (2026)
  Amin Karimi Monsefi et al.
  1.89
• TIP: Token Importance in On-Policy Distillation (2026)
  Yuanda Xu et al.
  1.83
• OVD: On-policy Verbal Distillation (2026)
  Jing Xiong et al.
  1.67
• Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling (2025)
  Haebin Shin et al.
  1.28
• On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes (2023)
  Rishabh Agarwal et al.
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• Backtracing: Retrieving the Cause of the Query (2024)
  Rose E. Wang et al.
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• Distribution Backtracking Builds A Faster Convergence Trajectory for One-step Diffusion Distillation (2024)
  Shengyuan Zhang et al.
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• Iterative Graph Alignment (2024)
  Fangyuan Yu et al.
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