What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective

Documenti analoghi

• How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients
  di: Li, Ming, et al.
  Pubblicazione: (2025)
• Agents Thinking Fast and Slow: A Talker-Reasoner Architecture
  di: Christakopoulou, Konstantina, et al.
  Pubblicazione: (2024)
• Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
  di: Fan, Chenrui, et al.
  Pubblicazione: (2025)
• Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory
  di: Li, Ming, et al.
  Pubblicazione: (2025)
• Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
  di: Li, Ming, et al.
  Pubblicazione: (2024)