EntroCut: Entropy-Guided Adaptive Truncation for Efficient Chain-of-Thought Reasoning in Small-scale Large Reasoning Models

Ähnliche Einträge

• EntroCoT: Enhancing Chain-of-Thought via Adaptive Entropy-Guided Segmentation
  von: Li, Zihang, et al.
  Veröffentlicht: (2026)
• ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning
  von: Xiong, Xuan, et al.
  Veröffentlicht: (2026)
• Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
  von: Cui, Yingqian, et al.
  Veröffentlicht: (2025)
• DART: Difficulty-Adaptive Reasoning Truncation for Efficient Large Language Models
  von: Zhang, Ruofan, et al.
  Veröffentlicht: (2025)
• Value-Guided Search for Efficient Chain-of-Thought Reasoning
  von: Wang, Kaiwen, et al.
  Veröffentlicht: (2025)